Vehicle security network device and method for controlling same

Abstract

A vehicle security network design device may comprise: a level assigning unit for assigning an automobile safety integrity level (ASIL) which provides a risk management standard for each of a plurality of functional elements in a vehicle that is at least temporarily implemented by a processor; a calculation unit for calculating device's controllability with respect to each of the plurality of functional elements on the basis of a connection structure between the plurality of functional elements and a difference value of the ASIL; and a management unit for generating a risk analysis model of a plurality of functional elements.

Description

TECHNICAL FIELD

Embodiments of the present invention relate to a field of vehicle system security and, more particularly, to a method of evaluating and managing security classes with respect to functional elements included in a vehicle and a device performing the same.

BACKGROUND AND SUMMARY

An initial automobile was an assembly of mechanical technologies. However, as gradually combined with electronic components, the automobile has enabled various functions and services such as automatic transmission, remote control and navigation and been developed to support high technology such as autonomous driving. Unlike components of general electronic products, malfunction of automobile electronic components may lead to serious accidents in some cases. With the increasing proportion of electronic components in a vehicle, the importance of “functional safety” has been emphasized. The “functional safety” refers to freedom from unreasonable risk, which means a rational risk level. The rational risk may indicate that a probability of malfunction occurrence is lowered and managed at a rational level based on classes of the electronic components.

Automobile components such as electronic components have different severities with respect to malfunction, and thus the International Organization for Standardization (ISO) 26262 standard that determines a rational risk class for each component has been established and provided as a risk analysis method for functional safety and a response method. However, the number of electronic components in a vehicle has been increased these days, and the components in the vehicle are connected to each other or other vehicles on a network. Thus, a risk analysis method considering a risk element of intended malfunction by security threats as well as malfunction caused by fault is needed. Further, the International Electrotechnical Commission (IEC) 62443 which is the industrial security standard is capable of considering a realizability of security threats, but not a characteristic of a vehicle environment.

DISCLOSURE OF INVENTION

Technical Solutions

According to an aspect of the present invention, there is provided a vehicle security network design device implemented by a processor. The vehicle security network design device may include a level assigner configured to assign an automobile safety integrity level (ASIL) which provides a risk management standard for each of a plurality of functional elements in a vehicle, a calculator configured to calculate a device's controllability with respect to each of the plurality of functional elements based on a difference in the ASIL and a connection structure between the plurality of functional elements, and a manager configured to establish and manage a risk analysis model of the plurality of functional elements based on the ASIL and the device's controllability.

The calculator may be configured to generate a graph including a vertex corresponding to each of the plurality of functional elements and an edge indicating whether data is transmitted and received between the plurality of functional elements. In further detail, the calculator may be configured to generate the graph including any one of a one-way edge and a two-way edge based on a data transmission and reception direction between two functional elements connected to each other.

The calculator may be configured to generate an edge weight matrix indicating a difference in the ASIL between two functional elements included in each edge. Further, the calculator may be configured to generate a weighted, directed graph in which the difference in the ASIL corresponding to the each edge is represented on a path of the edge.

The calculator may be configured to generate a transitive closure matrix indicating a sum of weights of at least one edge included in a path between two random vertices. Further, the calculator may be configured to calculate a difference in the ASIL between a first vertex and a second vertex as a device's controllability of a functional element corresponding to the first vertex, the second vertex maximizing the difference in the ASIL among at least one vertex having a path connected from the first vertex.

The calculator may be configured to calculate a maximum value among values of a first row of the transitive closure matrix corresponding to the first vertex as the device's controllability of the functional element corresponding to the first vertex.

The level assigner may be configured to assign a likelihood of risk occurrence with respect to each of the plurality of functional elements in the vehicle, and the manager may be configured to generate the risk analysis model of the plurality of functional elements based on the likelihood, the ASIL and the device's controllability. The level assigner may be configured to assign the likelihood according to the International Electrotechnical Commission (IEC) 62443 based on a realizability and a security vulnerability of a threat to each of the plurality of functional elements, and assign the ASIL according to the International Organization for Standardization (ISO) 26262 based on an accidental severity, an accidental exposure probability and a controllability with respect to each of the plurality of functional elements.

According to another aspect of the present invention, there is provided a method of calculating a device's controllability of a functional element in a vehicle, the method including calculating an edge weight matrix indicating a connection state of a plurality of functional elements in a vehicle based on a difference in ASIL and a connection structure between the plurality of functional elements, calculating a transitive closure matrix indicating a sum of weights of at least one edge included in a path between two random vertices using the edge weight matrix, and calculating a device's controllability of a functional element corresponding to a first vertex based on the ASIL of each of at least one vertex having a path connected from the first vertex.

The calculating of the edge weight matrix may further include generating vertices corresponding to the plurality of functional elements, and generating a graph including an edge indicating whether data is transmitted and received between two random vertices.

The generating of the graph including the edge may include generating the graph including any one of a one-way edge and a two-way edge based on a data transmission and reception direction between the two random vertices. Further, the generating of the graph including the edge may include generating a weighted, directed graph in which a difference in the ASIL between two vertices corresponding each edge is represented on a path of the each edge.

The calculating of the device's controllability may include calculating a maximum value among values of a first row of the transitive closure matrix corresponding to the first vertex as the device's controllability of the functional element corresponding to the first vertex.

The calculating of the device's controllability may include calculating a difference in the ASIL between the first vertex and a second vertex as the device's controllability of the functional element corresponding to the first vertex, the second vertex among at least one vertex having a path connected from the first vertex, and the second vertex may be a vertex which maximizes the difference in the ASIL from the first vertex.

According to still another aspect of the present invention, there is provided a program stored in a computer-readable medium, the program including an instruction set to perform a vehicle security network design method. In further detail, the instruction set may include an instruction set configured to assign a likelihood of risk occurrence with respect to each of a plurality of functional elements in a vehicle, an instruction set configured to assign an ASIL related to a risk management standard with respect to each of the plurality of functional elements in the vehicle, an instruction set configured to calculate a device's controllability with respect to each of the plurality of functional elements based on a difference in the ASIL and a connection structure between the plurality of functional elements, and an instruction set configured to generate a risk analysis model of the plurality of functional elements based on the likelihood, the ASIL and the device's controllability.

BRIEF DESCRIPTION OF THE FIGURES

FIG. 1 is a block diagram illustrating a vehicle security network design device according to an embodiment.

FIG. 2 is a flowchart illustrating a method of calculating a device's controllability of a functional element in a vehicle according to an embodiment.

FIG. 3 illustrates an example of a graph model of functional elements in a vehicle, the graph model generated by a vehicle security network design device according to an embodiment.

FIG. 4 illustrates an example of a weighted, directed graph generated using a generated edge weight matrix according to an embodiment.

FIG. 5 illustrates an example of a directed graph reflecting a device's controllability according to an embodiment.

FIG. 6 illustrates an example of a connection relationship of functional elements included in a vehicle according to an embodiment.

FIG. 7A illustrates a directed graph model generated by a vehicle security network design device according to an embodiment.

FIG. 7B illustrates a graph model reflecting a device's controllability from the directed graph model generated in FIG. 7A.

BEST MODE FOR CARRYING OUT THE INVENTION

The following detailed structural or functional description of embodiments is provided as an example only and various alterations and modifications may be made to the embodiments. Accordingly, the embodiments are not construed as being limited to the disclosure and should be understood to include all changes, equivalents, and replacements within the technical scope of the disclosure.

Terms, such as first, second, and the like, may be used herein to describe components. Each of these terminologies is not used to define an essence, order or sequence of a corresponding component but used merely to distinguish the corresponding component from other component(s). For example, a first component may be referred to as a second component, and similarly the second component may also be referred to as the first component.

It should be noted that if it is described that one component is “connected”, “coupled”, or “joined” to another component, a third component may be “connected”, “coupled”, and “joined” between the first and second components, although the first component may be directly connected, coupled, or joined to the second component.

The singular forms “a”, “an”, and “the” are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms “comprises/comprising” and/or “includes/including” when used herein, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components and/or groups thereof.

Unless otherwise defined, all terms, including technical and scientific terms, used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this disclosure pertains. Terms, such as those defined in commonly used dictionaries, are to be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art, and are not to be interpreted in an idealized or overly formal sense unless expressly so defined herein.

Hereinafter, embodiments will be described in detail with reference to the accompanying drawings. The same component or components corresponding to each other will be provided with the same reference numeral, and their detailed explanation will be omitted.

DETAILED DESCRIPTION

FIG. 1 is a block diagram illustrating a vehicle security network design device according to an embodiment. A vehicle security network design device 100 may include a processor. Referring to FIG. 1, the vehicle security network design device 110 may include a level assigner 110, a calculator 120 and a manager 130 that are at least temporarily implemented by the processor. The level assigner 110 may assign an automobile safety integrity level (ASIL) which provides a risk management standard with respect to each of a plurality of functional elements in a vehicle. In further detail, the level assigner 110 may assign an ASIL of each of the plurality of functional elements connected to a controller area network (CAN) of the vehicle based on the following Equation 1. However, the CAN is merely an example of an intra-vehicle network (IVN) which is managed according to embodiments, and thus description provided using the example of the CAN should not be construed as limiting the scope of the present disclosure to a specific application.ASIL=Severity×Probability×Controllability  [Equation 1]

The level assigner 110 may assign an ASIL level by combining an accidental severity level according to a hazard occurring by a fault or functional failure of a device, a probability of exposure level reflecting an operational situation of the vehicle, and a controllability of a driver since an accident may be prevented by a control of the driver although a mechanical malfunction occurs. As an example, the International Organization for Standardization (ISO) 26262 standard may be used for the ASIL level assignment of the level assigner 110.

The level assigner 110 may determine an accidental severity level as follows to assign an ASIL class related to the risk management standard. An exemplary evaluation matrix is introduced as shown in the following Table 1.

TABLE 1
			Severe injuries (life-
Description	No injuries	Light injuries	threatening)
Severity level S	S0	S1	S2

In addition, the level assigner 110 may determine a probability of exposure level related to a hazard element as follows. An exemplary evaluation matrix is introduced as shown in the following Table 2.

TABLE 2
Probability of		Probability range
exposure level E	Probability	(x)	Frequency
E0	No
E1	Very low		Once a year
E2	Low	x < 1%	Several times a year
E3	Medium	1% ≤ x < 10%	Once a month
E4	High	10% ≤ x	Often during driving

Further, the level assigner 110 may determine a controllability level as follows, the controllability level indicating a probability of escaping from the hazard by a control of the driver in a situation in which an accident is likely to occur. An exemplary evaluation matrix is introduced as shown in the following Table 3.

TABLE 3
		Simply	Normally
Description	Controllable	controllable	controllable
Situation	Easy	Avoid accident at	Avoid accident at
		probability of 99%	probability of 90%
		or higher	or higher
Controllability level	C0	C1	C2
C

As shown above, the accidental severity level according to the hazard, the probability of exposure level reflecting the operational situation of the vehicle and the controllability of the driver are determined, and the level assigner 110 may assign the ASIL class by combining the same. An exemplary matrix is introduced as shown in the following Table 4.

TABLE 4
	Probability
Severity	of exposure	Controllability level C
level S	level E	C0	C1	C2	C3
S1	E1	QM	QM	QM	QM
	E2	QM	QM	QM	QM
	E3	QM	QM	QM	ASIL A
	E4	QM	QM	ASIL A	ASIL B
S2	E1	QM	QM	QM	QM
	E2	QM	QM	QM	ASIL A
	E3	QM	QM	ASIL A	ASIL B
	E4	QM	ASIL A	ASIL B	ASIL C
S3	E1	QM	QM	QM	ASIL A
	E2	QM	QM	ASIL A	ASIL B
	E3	QM	ASIL A	ASIL B	ASIL C
	E4	ASIL A	ASIL B	ASIL C	ASIL D

In Table 4, a quality management (QM) may indicate a basic quality without a special requirement. In a direction from ASIL A to ASIL D, a standard required for risk management with respect to a class may become higher. The above described evaluation levels may be represented as results ranked as shown in Table 4. However, in another example, it may also be represented as a risk level vector including each evaluation level as an element.

Further, according to an embodiment, the level assigner 110 may assign a likelihood of risk occurrence based on a predesignated standard with respect to each of the plurality of functional elements in the vehicle. In further detail, the level assigner 110 may assign the likelihood of risk occurrence based on the following Equation 2.

$\begin{array}{cc}\mathrm{Likelihood}=\mathrm{Likelihood}\mathrm{of}\mathrm{Exploited}\mathrm{Vulnerability}\times \mathrm{Likelihood}\mathrm{of}\mathrm{Realized}\mathrm{Threat}& \left[\mathrm{Equation}2\right]\end{array}$

The level assigner 110 may assign the likelihood of risk occurrence based on a combination of a security vulnerability (likelihood of exploited vulnerability) and a threat realizability (likelihood of realized threat) as expressed by Equation 2. In further detail, the level assigner 110 may evaluate the threat realizability level as a potential likelihood with respect to a security attack, and be determined, in detail, in view of human resources of an attacker, material resources, and a required time. For example, the threat realizability level is evaluated relatively high with respect to a low level of experience and related knowledge required for attack, a low level of equipment necessary for attack, and a less time taken for attack. Exemplary evaluation matrices are introduced in the following Table 5 and Table 6.

TABLE 5
Evaluation
standard	Content	Class	Description
Required	Ordinary person	High	Person with lack of or no related knowledge
skill			or experience
	Skilled person	Medium	Person having related knowledge or
			experience and capable of utilizing existing
			published attack method
	Security expert	Low	Person having knowledge and experience
			related to security attack and capable of
			proposing new attack method
Attack	General/no equipment	High	Immediately available general equipment
resources	Technical/purchased	Medium	Purchasable without great effort
	equipment
	Ordered/manufactured	Low	Commonly unavailable or quite expensive,
	equipment		or need to be made to order
Attack	Immediate	High	System malfunctions soon when attack
time			starts
	Within driving time	Medium	System malfunctions by attack while vehicle
			is turned on
	Other long periods	Low	Case of long attack time to make vehicle
			system malfunction

TABLE 6
Threat realizability level T
		Attack time
Skill	Attack resource	High	Medium	Low
High	High	T3	T3	T 3
	Medium	T3	T3	T2
	Low	T3	T2	T1
Medium	High	T3	T3	T2
	Medium	T3	T2	T1
	Low	T2	T1	—
Low	High	T3	T2	T1
	Medium	T2	T1	—
	Low	T1	—	—

Further, the level assigner 110 may evaluate a security vulnerability exposure level based on an openness of a target system and evaluate the same based on how information of an attack target is published to an outside, how often the information is used, and how to access the information. For example, the security vulnerability exposure level may be evaluated relatively high for a high frequency of use of the target system, a lot of information being published, and a great openness of the access level. Exemplary evaluation matrices are introduced in the following Table 7 and Table 8.

TABLE 7
Evaluation
standard	Content	Class	Description
Frequency	High	High	Every driving/Every moment
of use	Medium	Medium	Once or twice a month/Often
	Low	Low	Once or twice a year/Sometimes
Information	Published	High	Published through Internet and
Publication			provided manual
	Involved	Medium	Owned by service center,
	worker		manufacturing company, parts
			manufacturing company, etc.
	Confidential	Low	Available to authorized person at
	document		service center, manufacturing
			company or parts manufacturing
			company
Access	Open	High	Accessible through Internet or
level			by unauthorized person
	General user	Medium	Accessible by driver only
	Special user	Low	Accessible with authority of service
			center, manufacturing company or
			parts manufacturing company

TABLE 8
Security vulnerability exposure level
Vulnerability Exploited (V)
Frequency of	Information	Access level
use	publication	High	Medium	Low
High	High	V3	V3	V3
	Medium	V3	V3	V2
	Low	V3	V2	V1
Medium	High	V3	V3	V2
	Medium	V3	V2	V1
	Low	V2	V1	—
Low	High	V3	V2	V1
	Medium	V2	V1	—
	Low	V1	—	—

The level assigner 110 may assign the likelihood of risk occurrence based on a combination of the assigned threat realizability level and the assigned security vulnerability exposure level, as shown in the following Table 9.

TABLE 9
Risk occurrence likelihood level D
	Realizability of	Security vulnerability exposure
	threat	V3	V2	V1
	T3	D4	D3	D2
	T2	D3	D2	D1
	T1	D2	D1	—

The calculator 120 may calculate a device's controllability with respect to each of the plurality of functional elements based on a difference in the ASIL class and a connection structure between the plurality of functional elements in the vehicle. The calculated device's controllability is a different concept from a controllability of a user which is defined in the ISO 26262 standard and is a factor which is newly defined here to consider a controllability and a connection between functional elements on a network in the vehicle.

The calculator 120 may generate a graph including a vertex corresponding to each of the plurality of functional elements and an edge indicating whether data is transmitted and received between the plurality of functional elements. Here, the edge may be one of a one-way edge and a two-way edge based on a data transmission and reception direction between two functional elements (vertices) connected to each other. The calculator 120 may generate an edge weight matrix indicating a difference in the ASIL between two functional elements included in each edge. The calculator 120 may calculate a transitive closure matrix indicating a sum of weights of at least one edge included in a path between two random vertices. For each vertex, the calculator 120 may detect a class difference from vj having a greatest difference in the ASIL class from vi, with respect to the vertex vj (0≤j<k) which may receive data from the vertex vi, that is, which the vertex vi is reachable. This may be calculated by finding and taking a greatest value among all values of an (i+1)-th row in the transitive closure matrix T. The calculator 120 may deduce this as a device's controllability (DC) with respect to the vertex. Detailed examples will be described with reference to the following drawings.

The manager 130 may newly generate and manage a risk analysis model of the plurality of functional elements based on the ASIL, the likelihood and the device's controllability. The ASIL may denote a class calculated based on the ISO 26262 standard. Accordingly, the ASIL may consider factors such as an operational situation of the vehicle and a controllability of the driver which have effects when a potential threat leads to an accident.

However, the ISO 26262 standard assumes that a fault or error and a functional failure which cause occurrence of threats occurs stochastically. However, a security threat may be intentionally made by an attacker having intelligence, unlike a simple mechanical fault. Thus, the likelihood of risk occurrence may consider factors such as a likelihood with respect to the security threat like the IEC 62443. The vehicle security network design device may cover risk analysis factors that the two standards, the ISO 26262 and the IEC 62443, consider, thereby supplementing an accuracy of risk analysis related to each of the functional elements. The manager 130 may manage a vehicle security management class that is newly analyzed in this way as a security-ASIL (S-ASIL). Detailed description will be provided later using examples with reference to FIG. 7 and the like. In the description set forth hereinafter, a method of calculating the device's controllability with respect to each of the plurality of functional elements will be described in detail.

FIG. 2 is a flowchart illustrating a method of calculating a device's controllability of a functional element in a vehicle according to an embodiment. Referring to FIG. 2, a method of calculating a device's controllability of a functional element in a vehicle may include operation 210 of calculating an edge weight matrix based on a connection state between devices in a vehicle, operation 220 of calculating a transitive closure matrix using the edge weight matrix and operation 230 of calculating a device's controllability using the transitive closure matrix.

Today, electronic control units (ECUs), various sensors, and actuators included in a vehicle may be connected on a network and exchange a variety of data with each other. Such an organic connection relationship of a plurality of devices may enable implementation of a user-centered interface with respect to the vehicle. However, there may also exist a risk of being an attack path of an outside intruder. The intruder may indirectly attack an existing well-secured device through a vulnerability of another device. To consider the likelihood as described above as well, a vehicle security network design device may generate a risk analysis model in view of a controllability and a connection between functional elements corresponding to independent devices on the network in the vehicle.

In operation 210, the vehicle security network design device may generate a graph model based on a connection structure between a plurality of functional elements in a vehicle. In the following description, a functional element may denote a minimal unit of each of a plurality of functions associated with the vehicle and a functional unit to be performed by a single electronic component. The vehicle security network design device may generate a graph model G=(V, E) including a vertex corresponding to each of the plurality of functional elements and an edge indicating a connection relationship between the plurality of functional elements.

For example, the vertex may be defined as v_i∈V(0≤i<k) which is defined as each functional element in a case in which k functional elements exist in the vehicle. In addition, the edge may indicate the connection relationship between the plurality of functional elements and whether data is transmitted and received therebetween and be defined as (v_i, v_j)∈E(i≠j, 0≤i, j<k). In further detail, the vehicle security network design device may generate a graph model including any one of a one-way edge and a two-way edge based on a data transmission and reception direction between two functional elements connected to each other.

In another example, the vehicle security network design device may implement a one-way uploading system to prevent a change in a directivity of data transmission and reception between functional elements in response to a security threat such as hacking and physically fix a communication direction between two devices to a predetermined direction.

The one-way uploading system may be a physical and/or software function installed at a gateway which performs routing such that the functional elements are connected on a network. For example, if it has a one-way connection edge through which data is transmitted to a vertex vi and a vertex vj, and vj is unable to transmit data to vi, the one-way uploading system may be a means to non-reciprocally maintain this directivity. The one-way uploading system may guarantee a security class evaluated with respect to the functional elements and a validity of a management model therefor. Thus, while the security class is set and managed according to embodiments, the security attacker may not access or change the one-way uploading system.

Meanwhile, in another example, the one-way uploading system may be a means physically disposed between the vertex vi and the vertex vj to prevent a change of the data transmission direction. The one-way uploading system as a network element may maintain an edge direction in the original connection topology, thereby guaranteeing an evaluation, setting and a management validity of the security class.

In addition, the one-way uploading system may be implemented by other applications applicable to the field of network and communications, and a structure and an operation of the one-way uploading system that may be deduced by a person skilled in the art although not described in detail should be construed as being employed for embodiments.

Further, in operation 210, the vehicle security network design device may calculate an edge weight matrix W based on a difference in the ASIL class and a connection structure between the plurality of functional elements using the generated directed graph model. In a case of using a configuration in which the plurality of functional elements existing on the network in the vehicle is connected through the ECUs, the vehicle security network design device may use an undirected graph model. However, in an actual vehicle, rather than a simple connection relationship like data transmission and reception from a sensor to a controller or data transmission and reception from the controller to an actuator, a direction in which data is transmitted and received may exist. The vehicle security network design device may generate a more accurate risk analysis model using the directed graph model reflecting such data flow.

In further detail, the vehicle security network design device may calculate the edge weight matrix W using the following Equation 3 and Equation 4.

$\begin{array}{cc}W=\left(\begin{array}{cccc}{w}_{0,0}& w_{0,1}& \dots & w_{0,k-1}\\ w_{1,0}& w_{1,1}& \dots & w_{1,k-1}\\ ⋮& ⋮& \ddots & ⋮\\ w_{k-1,0}& w_{k-1,1}& \dots & w_{k-1,k-1}\end{array}\right)& \left[\mathrm{Equation}3\right]\\ w_{i,j}=\{\begin{array}{cc}A\left(v_j\right)-A\left(v_i\right)& \mathrm{if}\left(v_i,v_j\right)\in E\\ \mathrm{nil}& \mathrm{otherwise}\end{array}& \left[\mathrm{Equation}4\right]\end{array}$

A calculator in the vehicle security network design device may define a representative value A(v_i) based on the ASIL class corresponding to each of the functional elements. For example, but not limited thereto, the representative value A(v_i) may be “0” if the ASIL class of the vertex vi corresponding to the functional element is QM and be defined to return values of “1” through “4”, respectively, if the ASIL class is ASIL A through ASIL D. Further, w_i,j (0≤i,j<k) denotes a difference between A(v_i) and A(v_j) with respect to the edge (v_i,v_j) and may be defined as expressed by Equation 4.

Further, the vehicle security network design device may generate a weighted, directed graph in which a difference in the representative value A(v_i) corresponding to each edge is represented on a path of the edge. The generated weighted, directed graph will be described further with reference to the following drawings.

In operation 220, the vehicle security network design device may generate a transitive closure matrix using the edge weight matrix calculated in operation 210. In further detail, the calculator in the vehicle security network design device may calculate the transitive closure matrix indicating a total sum of weights of all edges included in a path between two random vertices. For example, the calculator may calculate the transitive closure matrix T as expressed by the following Equation 5 and Equation 6.

$\begin{array}{cc}T=\left(\begin{array}{cccc}{t}_{0,0}& t_{0,1}& \dots & t_{0,k-1}\\ t_{1,0}& t_{1,1}& \dots & t_{1,k-1}\\ ⋮& ⋮& \ddots & ⋮\\ t_{k-1,0}& t_{k-1,1}& \dots & t_{k-1,k-1}\end{array}\right)& \left[\mathrm{Equation}5\right]\\ t_{i,j}=\{\begin{array}{cc}{w}_{i,j}& \mathrm{if}\left(v_i,v_j\right)\in E\\ w_{i,x}+\dots +w_{y,i}& \mathrm{if}\left(v_i,v_x\right),\dots ,\left(v_y,v_i\right)\in E\\ \mathrm{nil}& \mathrm{otherwise}\end{array}& \left[\mathrm{Equation}6\right]\end{array}$

An element t_i,j(0≤i,j<k) of the transitive closure matrix T calculated by the vehicle security network design device may indicate a total sum of weights of all edges on a path between the two vertices v_i and v_j. In further detail, the element t_i,j may be defined as expressed by Equation 6. In Equation 6, vertices v_x through v_y may denote all vertices existing on a path between the two vertices v_i and v_j. If a value of the element t_i,j is nil, it may indicate that there exists no path between the two vertices v_i and v_j. Otherwise, if the value of the element t_i,j is present, it may indicate that there exists at least one path between the two vertices v_i and v_j. As a result, the value of the element t_i,j may be the same as a difference between A(v_i) and A(v_j), and thus in a case in which there exist at least two paths, a sum of weights of all edges on each path may be the same.

In operation 230, the vehicle security network design device may calculate a device's controllability corresponding to each of the plurality of functional elements using the transitive closure matrix. In further detail, the calculator in the vehicle security network design device may calculate a maximum value among values of a first row of the transitive closure matrix corresponding to a first vertex as a device's controllability of a functional element corresponding to the first vertex. Further, the calculator may represent a greatest difference in the ASIL class between two vertices among vertices v_j(0≤j<k) which the first vertex is reachable and which have a path connected from the first vertex. In addition, since a negative number in the device's controllability is meaningless, the vehicle security network design device may regard the device's controllability for a negative number as “0”.

The above description has provided a modeling algorithm and a graph model used by the vehicle security network design device to generate a list analysis model. Hereinafter, an exemplary process of generating a risk analysis model in an in-vehicle networking (IVN) environment in a vehicle will be described in further detail.

FIG. 3 illustrates an example of a graph model of functional elements in a vehicle, the graph model generated by a vehicle security network design device according to an embodiment. Referring to FIG. 3, an example of a graph model representing 23 functional elements v₀ through v₂₂ included in a vehicle and a connection relationship therebetween as directed edges. For example, the respective functional elements may be grouped into different functional regions in the vehicle. In an example, the first vertex v₀ through the third vertex v₂ may be included in a communication unit. In another example, the fourth vertex v₃ through the seventh vertex v₀ may be included in an infotainment. Similarly, the eighth vertex v₇ through the fifteenth vertex v₁₄ may be included in an advanced driver-assistance system (ADAS). Further, the seventeenth vertex v₁₆ through the twentieth vertex v₁₉ may be included in an engine. In addition, the twenty-first vertex v₂₀ through the twenty-third vertex v₂₂ may be included in a brake.

An ASIL class indicated in each vertex may represent an ASIL class assigned by a level assigner in a vehicle security network design device, as described with reference to FIG. 1. For example, but not limited thereto, each ASIL class may be evaluated based on the ISO 26262 standard.

FIG. 4 illustrates an example of a weighted, directed graph generated using a generated edge weight matrix according to an embodiment. Referring to FIG. 4, a weighted, directed graph generated with respect to the plurality of functional elements in the vehicle of FIG. 3 is illustrated. A vehicle security network design device may generate an edge weight matrix W indicating a difference in an ASIL class between two functional elements included in each edge according to Equation 3 and Equation 4.

The edge weight matrix W related to the plurality of functional elements in the vehicle in the example of FIG. 3 may be calculated as shown in the following Table 10.

TABLE 10
	i
j	0	1	2	3	4	5	6	7	8	9	10	11	12	13	14	15	16	17	18	19	20	21	22
0		0
1	0		1			0
2		−1
3
4
5		0		−1	−2		−2
6						2
7						1					3
8						2					4
9						0					2
10													−1	0	0
11											1			1
12							−3							1	1
13																		1			1
14							−4							0
15													1	2		2
16																		2
17							−4
18																		3
19																		2
20							−4											0
21																					2
22																					3

For example, ASIL classes of the tenth vertex v₉ and the eleventh vertex v₁₀ may be assigned as ASIL B and ASIL D, respectively. In this example, with respect to a representative value A(v_i) corresponding to an ASIL class, A(v₉) may be determined to be “2”, and A(v₁₀) may be determined to be “4”. Accordingly, the vehicle security network design device may calculate an element w_9,10=A(v₁₀)−A(v₉) of the edge weight matrix W to be “2”. Similarly, the vehicle security network design device may calculate a value of each element of the edge weight matrix W. A value of nil is a non-existent value and thus, is not represented in Table 10.

The weighted, directed graph of FIG. 4 may include 23 vertices. Further, the weighted, directed graph may further include edges representing data transmission and reception relationships of functional elements respectively corresponding to the 23 vertices. The edges may each include any one of a one-way edge and a two-way edge. In addition, the weighted, directed graph may represent a difference between representative values A(v_i) corresponding to ASIL classes of two vertices connected along the edge on a path of the edge.

FIG. 5 illustrates an example of a directed graph reflecting a device's controllability according to an embodiment. According to Equation 5 and Equation 6, a vehicle security network design device may calculate a transitive closure matrix T using the weighted, directed graph described with reference to FIG. 4. For example, referring to the graph of FIG. 4, there may exist two shortest paths connected from the tenth vertex v₉ to the fourth vertex v₁₃. In further detail, a first path p₁ may be a path passing through the vertices v₉, v₁₀ and v₁₃. In addition, a second path p₂ may be a path passing through the vertices v₉, v₁₂ and v₁₃.

Accordingly, a calculator in the vehicle security network design device may calculate an element t_9,13=w_9,10+w_10,13=w_9,12+w_12,13 of the transitive closure matrix T to be “2”. As described above, irrespective of a path, the element t_i,j may be consequentially calculated by A(v_j)−A(v_i), and thus a resulting value may be the same. For example, the transitive closure matrix T calculated using the weighted, directed graph described with reference to FIG. 4 may be calculated as shown in the following Table 11.

TABLE 11
	i
j	0	1	2	3	4	5	6	7	8	9	10	11	12	13	14	15	16	17	18	19	20	21	22
0		0	1	−1	−2	0	−2
1	0		1	−1	−2	0	−2
2	−1	−1		−2	−3	−1	−3
3
4
5	0	0	1	−1	−2		−2
6	2	2	3	1	0	2
7	1	1	2	0	−1	1	−1				3		2	3	3			3			3
8	2	2	3	1	0	2	0				4		3	4	4			4			4
9	0	0	1	−1	−2	0	−2				2		1	2	2			2			2
10	−2	−2	−1	−3	−4	−2	−4						−1	0	0			0			0
11	−1	−1	0	−2	−3	−1	−3				1		0	1	1			1			1
12	−1	−1	0	−2	−3	−1	−3							1	1			1			1
13	−2	−2	−1	−3	−4	−2	−4											0			0
14	−2	−2	−1	−3	−4	−2	−4							0				0			0
15	0	0	1	−1	−2	0	−2						1	2		2		2			2
16	0	0	1	−1	−2	0	−2											2
17	−2	−2	−1	−3	−4	−2	−4
18	1	1	2	0	−1	0	−1											3
19	0	0	1	−1	−2	0	−2											2
20	−2	−2	−1	−3	−4	−2	−4											0
21	0	0	1	−1	−2	0	−2											2			2
22	1	1	2	0	−1	0	−1											3			3

Further, the vehicle security network design device may calculate a device's controllability (DC) with respect to each of the functional elements using the transitive closure matrix calculated as shown in Table 11. The vehicle security network design device may define a device's controllability of a vertex v_i as DC_i. For example, in a case of calculating a device's controllability of a tenth vertex v₉, the vehicle security network design device may calculate a greatest value among data values of a tenth row as the device's controllability of the tenth vertex v₉. In further detail, t_9,j written in the tenth row of the transitive closure matrix of Table 11 are 0, 0, 1, −1, −2, . . . , 2, and the vehicle security network design device may assign “2” which is the greatest value thereamong as DC₉. In this example, the device's controllability may be defined as 5 classes from DC_i=0 having a least difference in the ASIL class to DC_i=4 having a greatest difference in the ASIL class. However, the above description about the classes of the device's controllability are provided as an example only for better understanding of the disclosure and thus, should not construed as limiting or restricting the scope of other embodiments. For example, it is obvious to a person skilled in the art that more elaborate device's controllability classes or more convenient device's controllability classes may be assigned depending on a need of a designer. FIG. 5 illustrates the graph model reflecting device's controllabilities of all functional elements in the vehicle which are calculated by the vehicle security network design device.

FIG. 6 illustrates an example of a connection relationship of functional elements included in a vehicle according to an embodiment. A vehicle security network design device may receive data information exchanged between modules included in a predesigned vehicle as shown in the following Table 12.

TABLE 12
		Functional	ASIL	Data reception	Data transmission
Domain	No	element	class	(Receiving From)	(Sending To)
ADAS	a0	Adaptive cruise	D	s0. steer wheel angle	p0. Throttle
(620)		control		s1. wheel speed of each	command
				wheel	b1. Brake
				s3. Front vehicle tracking	pressure
				info	command
				s5. Front vehicle track info,	h0. Set speed,
				Lane info	headway gap
					info
	a1	Lane departure	D	s0. steer wheel angle	h0. Warning
		warning system		s1. Wheel speed of each
				wheel
				S6. Lane info
	a2	Lane keeping	D	s0. steer wheel angle	b1. braking
		(assist) system		s1. wheel speed of each	pressure
				wheel	e0. steering
				s5. Lane info	torque
				s6. yaw rate, lateral	h0. Warning
				acceleration
	a3	Highway drive	D	s0. steer wheel angle	b1. braking
		assist system		s1. wheel speed of each	pressure
				wheel	p0. throttle
				s3. front vehicle tracking	command
				info	e0. steering
				s5. front vehicle track info,	torque/target
				Lane info	angle
				s6. Lateral acceleration, yaw	h0. current set
				rate	speed, warning
				h1. road condition
	a4	Active front	B	s0. steer wheel angle	h0. high beam
		lighting system		s1. wheel speed of each	info
				wheel
				s3. front vehicle tracking
				info
				s5. front vehicle track info,
				Lane info
	a5	Auto parking	D	s0. steer wheel angle	p0. throttle
		system		s1. wheel speed of each	command
				wheel	p1. gear engage
				s4. surrounding vehicle info	command(P/R/D)
				s6. yaw rate	b1. brake
					pressure
					command
					b0. parking
					brake enable
					t0. target steering
					wheel angle
					h0. current
					parking space
					info
Chassis	c0	Traction control	C	s0. Steering wheel angle	p0. throttle
(640)				s1. Wheel speed	command
				s6. Longitudinal	p1. transmissioin
				acceleration	command(clutch
					(dis)engage)
					b1. target brake
					pressure
					h0. intervention
					info
	c1	Anti-lock	D	s1. wheel speed info	b1. Target brake
		braking system			pressure
					p1. transmission
					command(clutch
					control)
					h0. intervention
					info
	c2	Active damping	C	s0. steering wheel angle	(Embedded
		system		s1. wheel speed info.	actuator) Target
				s6. yaw rate, lateral	damping
				acceleration, longitudinal	coefficient
				acceleration
	c3	Electronic	D	s0. steering wheel angle	b1. target brake
		stability system		s1. wheel speed info.	pressure
				s6. yaw rate, lateral	h0. intervention
				acceleration	info
Brake	b0	Electronic	B	a5. auto parking system	h0. parking
(650)		parking brake			brake status
		system
	b1	Electronic Brake	D	a0. adaptive cruise control	—
		control		a2. lane keeping (assist)
				system
				a3. highway drive assist
				system
				a5. auto parking system
				c0. traction control
				c1. anti-lock braking system
				c3. electronic stability
				system
HMI	h0	Dashboard,	A	(Described in ADAS and	—
(630)		cluster unit		chassis modules)
	h1	Infotainment	B	—	(Described in
		system			ADAS module)
Power	p0	Engine	D	(Described in ADAS and	—
train		management		chassis modules)
(650)		system
	p1	Transmission	D	(Described in ADAS and	—
		control system		chassis modules)
Sensor	s0	Steering wheel	C	—	(Described in
(610)		sensor			ADAS and
					chassis modules)
	s1	Wheel speed	C	—	(Described in
		sensor			ADAS and
					chassis modules)
	s2	Tire pressure	A	—	(Described in
		sensor			ADAS and
					chassis modules)
	s3	RADAR	D	—	(Described in
					ADAS and
					chassis modules)
	s4	Ultrasonic	A	—	(Described in
		sensor			ADAS and
					chassis modules)
	s5	Vision (camera	D	—	(Described in
		and tracking			ADAS and
		module)			chassis modules)
	s6	Inertial	C	—	(Described in
		sensor(Acceleration,			ADAS and
		yaw rate)			chassis modules)
Steer	t0	Electronic power	D	(Described in ADAS and	—
(650)		steering		chassis modules)

Referring to FIG. 6, a schematic example of wired and wireless networking in the vehicle defined as shown in Table 12 is illustrated.

FIG. 7A illustrates a directed graph model generated by a vehicle security network design device according to an embodiment. Referring to FIG. 7A, a directed graph model which represents ASIL classes and a connection relationship between a plurality of functional elements in wired and wireless networks in the vehicle defined as shown in Table 12 and FIG. 6 is illustrated.

FIG. 7B illustrates a graph model reflecting a device's controllability from the directed graph model generated in FIG. 7A. A vehicle security network design device may calculate an edge weight matrix W and a transitive closure matrix T from the directed graph model described with reference to FIG. 7A. Further, the vehicle security network design device may calculate a device's controllability DC_i corresponding to each of functional elements using the transitive closure matrix T. The description provided above may apply to the process of calculating the device's controllability, and thus duplicate description will be omitted.

Referring to FIG. 7B, device's controllabilities DC_i with respect to remaining functional elements, except for DC3 of a tire pressure sensor s₂, DC1 of a radar s₃, DC1 of an ultrasonic sensor s₄, DC1 of a vision sensing module s₅ and DC1 of an anti-lock braking system c₁, may be calculated to be “0”.

A modeling algorithm related to a risk analysis model described in this example may be used to evaluate device's controllabilities of ECUs in the vehicle and to selectively detect a device to be affected when a security threat to a predetermined device occurs on a network. For example, in a case in which a security threat occurs at a predetermined node s₂, s₃, the vehicle security network design device may select a functional element having a higher ASIL class among functional elements existing in a range reachable from the corresponding node and display the corresponding functional element emphatically on a display of a user. In a case of a system with a huge IVN, it may not be easy to analyze functional elements with security vulnerability manually one by one. The vehicle security network design device may inspect the functional elements with security vulnerability in advance using a simulator to which the modeling algorithm related to the risk analysis model is applied, thereby increasing the safety.

The vehicle security network design device may calculate a likelihood of risk occurrence with respect to each of the plurality of functional elements in the vehicle, an ASIL which provides a risk management standard with respect to each of the plurality of functional elements and a device's controllability with respect to each of the plurality of functional elements. Further, a manager in the vehicle security network design device may generate a risk analysis model of the plurality of functional elements based on the likelihood, the ASIL and the device's controllability. For example, with respect to the IVN suggested as shown in Table 12, the vehicle security network design device may generate a risk analysis model as shown in the following Table 13.

TABLE 13
ASIL	Device's	Risk occurrence likelihood
class	controllability	D1	D2	D3	D4
QM	DC0	QM	QM	QM	QM
	DC1	QM	QM	QM	S-ASIL A
	DC2	QM	QM	S-ASIL A	S-ASIL B
	DC3	QM	S-ASIL A	S-ASIL B	S-ASIL C
	DC4	S-ASIL A	S-ASIL B	S-ASIL C	S-ASIL D
ASIL A	DC0	QM	QM	QM	S-ASIL A
	DC1	QM	QM	S-ASIL A	S-ASIL B
	DC2	QM	S-ASIL A	S-ASIL B	S-ASIL C
	DC3	S-ASIL A	ASIL B	S-ASIL C	S-ASIL D
ASIL B	DC0	QM	QM	S-ASIL A	S-ASIL B
	DC1	QM	S-ASIL A	S-ASIL B	S-ASIL C
	DC2	S-ASIL A	S-ASIL B	S-ASIL C	S-ASIL D
ASIL C	DC0	QM	S-ASIL A	S-ASIL B	S-ASIL C
	DC1	S-ASIL A	S-ASIL B	S-ASIL C	S-ASIL D
ASIL D	DC0	S-ASIL A	S-ASIL B	S-ASIL C	S-ASIL D

In Table 13, QM may indicate a basic quality without a special requirement. In a direction from S-ASIL A to S-ASIL D, a standard required for security threat related risk management with respect to a class may become higher.

A secure-ASIL (S-ASIL) may be a risk analysis class assigned by the vehicle security network design device and indicate a risk analysis class of each of the plurality of functional elements calculated based on the likelihood, the ASIL and the device's controllability. According to the present embodiment, an effect of increasing the safety of security may be expected in that functional elements vulnerable to security threats may be evaluated based on a device's controllability even with respect to a networking system in a complex vehicle.

The embodiments described herein may be implemented using hardware components, software components, and/or a combination thereof. For example, the processing device and the component described herein may be implemented using one or more general-purpose or special purpose computers, such as, for example, a processor, a controller and an arithmetic logic unit (ALU), a digital signal processor, a microcomputer, a field programmable gate array (FPGA), a programmable logic unit (PLU), a microprocessor, or any other device capable of responding to and executing instructions in a defined manner. The processing device may run an operating system (OS) and one or more software applications that run on the OS. The processing device also may access, store, manipulate, process, and create data in response to execution of the software. For purpose of simplicity, the description of a processing device is used as singular; however, one skilled in the art will be appreciated that a processing device may include multiple processing elements and/or multiple types of processing elements. For example, a processing device may include multiple processors or a processor and a controller. In addition, different processing configurations are possible, such as parallel processors.

The software may include a computer program, a piece of code, an instruction, or some combination thereof, to independently or collectively instruct and/or configure the processing device to operate as desired, thereby transforming the processing device into a special purpose processor. Software and data may be embodied permanently or temporarily in any type of machine, component, physical or virtual equipment, computer storage medium or device, or in a propagated signal wave capable of providing instructions or data to or being interpreted by the processing device. The software also may be distributed over network coupled computer systems so that the software is stored and executed in a distributed fashion. The software and data may be stored by one or more non-transitory computer readable recording mediums.

The methods according to the above-described example embodiments may be recorded in non-transitory computer-readable media including program instructions to implement various operations of the above-described example embodiments. The media may also include, alone or in combination with the program instructions, data files, data structures, and the like. The program instructions recorded on the media may be those specially designed and constructed for the purposes of example embodiments, or they may be of the kind well-known and available to those having skill in the computer software arts. Examples of non-transitory computer-readable media include magnetic media such as hard disks, floppy disks, and magnetic tape; optical media such as CD-ROM discs, DVDs, and/or Blue-ray discs; magneto-optical media such as optical discs; and hardware devices that are specially configured to store and perform program instructions, such as read-only memory (ROM), random access memory (RAM), flash memory (e.g., USB flash drives, memory cards, memory sticks, etc.), and the like. Examples of program instructions include both machine code, such as produced by a compiler, and files containing higher level code that may be executed by the computer using an interpreter. The above-described devices may be configured to act as one or more software modules in order to perform the operations of the above-described example embodiments, or vice versa.

A number of example embodiments have been described above. Nevertheless, it should be understood that various modifications may be made to these example embodiments. For example, suitable results may be achieved if the described techniques are performed in a different order and/or if components in a described system, architecture, device, or circuit are combined in a different manner and/or replaced or supplemented by other components or their equivalents.

Claims

1. A method of managing an intra-vehicle network (IVN) of a vehicle based on a device's controllability of a functional element from a plurality of functional elements connected using the IVN in the vehicle, comprising: calculating an edge weight matrix indicating a connection state of the plurality of functional elements in the vehicle based on a difference in automobile safety integrity level (ASIL) and a connection structure between the plurality of functional elements;calculating a transitive closure matrix indicating a sum of weights of at least one edge included in a path between two random vertices using the edge weight matrix; andcalculating the device's controllability of the functional element corresponding to a first vertex based on the ASIL of each of at least one vertex having a path connected from the first vertex,managing the IVN of the vehicle based on the respective calculated device's controllability;wherein the calculating of the device's controllability comprises calculating a difference in the ASIL between the first vertex and a second vertex as the device's controllability of the functional element corresponding to the first vertex, the second vertex among at least one vertex having a path connected from the first vertex,wherein the second vertex is a vertex which maximizes the difference in the ASIL from the first vertex, andwherein the device's controllability for a negative number is considered ‘0’.

2. The method of claim 1, wherein the calculating of the edge weight matrix further comprises generating vertices corresponding to the plurality of functional elements, and generating a graph including an edge indicating whether data is transmitted and received between two random vertices.

3. The method of claim 2, wherein the generating of the graph including the edge comprises generating the graph including any one of a one-way edge and a two-way edge based on a data transmission and reception direction between the two random vertices.

4. The method of claim 3, wherein the generating of the graph including the edge comprises generating a weighted, directed graph in which a difference in the ASIL between two vertices corresponding each edge is represented on a path of the each edge.

5. The method of claim 1, wherein the calculating of the device's controllability comprises calculating a maximum value among values of a first row of the transitive closure matrix corresponding to the first vertex as the device's controllability of the functional element corresponding to the first vertex.