The present application claims priority to EP Application No. 19150868.8 filed Jan. 9, 2019, which is hereby incorporated in its entirety by reference.
The present disclosure relates to impeding access to data. In particular, it relates to impeding access to data from high volume data sources.
A volume of data generated by devices and appliances and communicated and/or received via networks is large and increasing. Such devices and appliances can include, for example and inter alia: domestic appliances; entertainment devices; physical or virtualised computer systems; telephony devices; personal portable equipment; health and/or exercise devices; sensors; switches; medical devices; fittings and furnishings; meters; security systems; cameras; alarms; smart city devices; monitors; environmental monitors and/or sensors; vehicles; wearable devices; smart clothing; industrial devices and appliances; manufacturing components and/or appliances; and many existing, conceived and/or as yet unrealized devices capable of generating and communicating and/or receiving data. In particular, devices constituting the so-called “internet of things” (IoT) may generate and communicate and/or receive data over a computer network by communication medium such as wired or wireless broadcast, network or the like.
Data generated and communicated by or to such devices can include sensitive information or information that, when combined with other information, could constitute sensitive, secret, personal or private information. Notably, such information is frequently communicated in plaintext or unencrypted form due to constraints on the computational ability and resources of devices involved in the generation, communication or receipt/consumption of the information.
For example, information about a person can be communicated in unencrypted form by devices used by, detecting or otherwise affected by the person. Such information can include, inter alia: location information; travel information; health information such as heart rate, blood pressure and the like; time information such as time and/or date; personal tastes and preferences such as music preferences; and other information. Plaintext disclosure or observation and recording of any one piece of such information may be considered relatively innocuous for the person concerned, especially in the absence of a direct association between the information and the person such as by an identification of the person. However, a simple aggregation of two or more pieces of information can build an impression, picture or data structure of information concerning the person having a sensitivity greater than a sensitivity of any single piece of data taken alone. In effect, the sensitivity of an aggregate of pieces of information is greater than the sensitivity of its parts.
The protection of information by encryption can alleviate privacy concerns, but many IoT and similar devices are not computationally capable of performing cryptographic key generation, hashing and encryption/decryption functions with sufficient performance for the volume of data involved due to resource constraints of the devices. In particular, the resources required to implement and use Elliptic-curve cryptography (ECC) for timely public-key cryptography can exceed the computational ability of many, for example low-cost, IoT devices.
Thus, there is a challenge to protect data in resource constrained systems.
The present disclosure accordingly provides, in a first aspect, a computer implemented method of protecting data in a message for communication from a sender to a receiver, the sender and receiver sharing a secret, the method comprising: splitting the message into a plurality of ordered message blocks, the order being a proper order such that an aggregation of the blocks in the proper order constitutes the message; generating a hash value for each message block, each hash value being generated on the basis of at least a content of the block and the secret; generating, for each block, an encoded indication of a position of the block in the proper order of blocks, the encoding being reversible and based on at least the hash value for the block and a position of the block in the proper order; communicating the blocks to the receiver in an order different to the proper order so as to obfuscate the message; and communicating the encoded indications to the receiver such that the blocks can be reassembled by the receiver in the proper order on the basis of the shared secret.
In some embodiments, the method further comprises reordering the blocks to constitute a shuffled message, the reordering being performed on the basis of a mathematical property of the hash values, the property being shared between the sender and receiver, wherein communicating the encoded indications to the receiver includes spreading the encoded indications across the blocks in the shuffled message such that communicating the blocks to the receiver includes communicating the encoded indications to the receiver, and such that the encoded indications are extractable by the receiver by a reassembly of the shuffled message using the mathematical property to determine the proper order of blocks.
In some embodiments, each of the encoded indications is reversible on the basis of the shared secret by an exclusive-OR operation of the encoded indication and a hash of a value based on the shared secret.
In some embodiments, the encoded indications are communicated by aggregating an indication to each of the blocks as communicated.
The present disclosure accordingly provides, in a second aspect, a computer implemented method of protecting data in a message communicated from a sender to a receiver, the sender and receiver sharing a secret, the method comprising: receiving the message as a plurality of message blocks such that an aggregation of the blocks in a proper order constitutes the message, wherein the message blocks are received in an order different to the proper order; receiving an encoded indication for each block of a position of the block in the proper order, the encoding being reversible and based on at least a hash value for the block and the shared secret and a position of the block in the proper order; reconstituting the message by determining the proper order of the message blocks by: generating a hash value for each message block, each hash value being generated on the basis of at least a content of the block and the secret; and determining the proper order of the blocks by decoding each of the encoded indications based on the hash value for each block and the secret so as to reconstitute the message.
In some embodiments, the method further comprises assembling a shuffled version of the message by ordering the blocks on the basis of a mathematical property of the hash values, the property being shared between the sender and receiver, and wherein receiving the encoded indications includes extracting each of the encoded indications from the blocks in an order according to the order of the blocks in the shuffled message, the position of an encoded indication in the ordered indications serving to identify a block associated with the indication for hashing in order to retrieve the block's position from the encoded indication in the proper order.
In some embodiments, each of the encoded indications is reversible on the basis of the shared secret by an exclusive-OR operation of the encoded indication and a hash of a value based on the shared secret.
The present disclosure accordingly provides, in a third aspect, a computer system including a processor and memory storing computer program code for performing the method set out above.
The present disclosure accordingly provides, in a fourth aspect, a computer program element comprising computer program code to, when loaded into a computer system and executed thereon, cause the computer to perform the method set out above.
Embodiments of the present disclosure will now be described, by way of example only, with reference to the accompanying drawings, in which:
Embodiments of the present disclosure recognize that large volumes of data can be protected by relatively less secure data protection mechanisms dissuading data access since, in spite of a relatively low computation effort required to access an item of data protected by such relatively less secure data protection mechanisms, the sheer volume of occasions when such computation effort is required to be performed to access many such data items is large by virtue of the sheer quantity of data items. Accordingly, embodiments of the present disclosure provide mechanisms for impeding access to data such that greater effort is required than mere reading plaintext data while providing that such mechanisms are operable by resource constrained devices such as low-resource IoT devices and the like. Thus, where an entity interested in “snooping” data communicated by, to or between IoT devices would readily access (and potentially process and/or store) intercepted plaintext data in real-time, a burden introduced by, for example, a computational exercise required before any such intercepted data can fully accessed, serves to protect the data due to the sheer volume of such data.
Embodiments of the present disclosure provide a computation challenge for accessing such data by partitioning the data and rearranging it. The whole content of an original data item is retained but it is partitioned and disorganized. The complexity of the partitioning and rearranging is adaptable in dependence on capabilities of device generating or receiving the data.
The sender 202 includes a message 200 storing data therein and for communication to the receiver 204. In particular, embodiments of the present disclosure provide for communication of the message 200 to the receiver 204 while providing an impediment to third party, unauthorized or other entities accessing data stored in the message 200 by obfuscating the message 200 in a manner that the data can be readily reconstituted by the receiver 204. By providing an impediment through obfuscation, the resource burden of encryption is not required at either the sender 202 or receiver 204.
Encoded Indication (EI)=H(B∥S)⊕p
In this way, the proper position p for a block B can be recovered by reversing the encoding, provided the shared secret S is known, thus:
p=H(B∥S)⊕EI
The sender 202 reorders the blocks into a new order of blocks 210 that is different to the proper order. For example, the sender 202 can reorder the blocks 210 into a random order provided the random order is not the proper order. Further, the sender 202 can analyze the new order of blocks 210 to verify it is sufficiently different to the proper order that the message cannot be readily inferred from even the reordered blocks 210. Such analysis can include, for example, determining a proportion of message blocks 206 that are adjacent other message blocks in the proper order and remain so collocated in the reordered blocks 210. Other mechanisms for ensuring sufficient reordering of the message blocks 206 will be apparent to those skilled in the art.
The reordered message blocks 210 and encoded indications 208 are communicated for receipt by the receiver entity 204. The receiver entity decodes the encoded indications 208 by reversing the encoding to determine a position in the proper order for each received block 210. Subsequently, the received blocks 210 can be reordered to the proper order 206 to reconstitute the message 200.
hn=H(Bn∥S)
The relationship between a hash value hn and a block Bn is such that, if the hash values are ordered according to the proper order of the blocks 206 as h1 . . . hi, it is possible to determine a proper position pn of a block Bn in the proper order by evaluating the hash value for the block hn (on the basis of the block data and the shared secret S) and comparing with the ordered list of hash values h1 . . . hi. This constitutes a ready approach to determining the proper order p1 . . . pi as depicted in
As illustrated in
EIn=H(hn∥S)⊕pn
In this way, decoding the position pn for a block Bn can be achieved by:
pn=H(hn∥S)⊕EIn
or, for completeness:
pn−H(H(Bn∥S)∥S)⊕EIn
Such nested hashing providing increased security of the encoding and offering further benefits as will be described below with respect to embodiments of
Returning to
Turning now to the operation of the receiver 204 in
Further, the shuffled version 442 of the message is used to communicate the encoded indications EI1 . . . EIi to the receiver 204. In an exemplary embodiment, the encoded indications EI1 . . . EIi are spread across the blocks B1 . . . Bi as shuffled in the shuffled version 442. Notably, the order of the encoded indications as they are spread across the shuffled message blocks is the proper order so that, if the receiver 204 is able to reconstitute the shuffled message 422, it is also able to determine the proper order of the encoded indications 208 and ultimately the proper order of the message blocks B1 . . . Bi.
In the exemplary embodiment, the encoded indications 208 as spread across the shuffled message blocks 442. This provides a mechanism for securely communicating the encoded indications 208 to the receiver 204 by including, associating or referencing an encoded indication with a message block as communicated to the receiver 204. It is emphasized that, in this exemplary embodiment, the order of the encoded indications 208 as they are spread across the blocks in the shuffled message 442 is the proper order, though the order of the blocks in the shuffled message 442 is not necessarily (and in some embodiments is not) the proper order and is instead defined on the basis of the mathematical property 452 and the hash values h1 . . . hi for the blocks B1 . . . Bi. Furthermore, it is emphasized that the order of the blocks in the shuffled message 442 is not necessarily (and preferably is not) the same as the reordered message blocks 410 as defined by the reorder component 326, such reordered message blocks 410 being, in one exemplary embodiment, a random order of message blocks. Thus, the challenge for the receiver to generate the shuffled message 442 in order to determine a correct order of the encoded indications 208 is additional to the existing challenge of then decoding the encoded indications 208 to determine the proper order of the message blocks 206 to reconstitute the message 200.
Insofar as embodiments of the disclosure described are implementable, at least in part, using a software-controlled programmable processing device, such as a microprocessor, digital signal processor or other processing device, data processing apparatus or system, it will be appreciated that a computer program for configuring a programmable device, apparatus or system to implement the foregoing described methods is envisaged as an aspect of the present disclosure. The computer program may be embodied as source code or undergo compilation for implementation on a processing device, apparatus or system or may be embodied as object code, for example.
Suitably, the computer program is stored on a carrier medium in machine or device readable form, for example in solid-state memory, magnetic memory such as disk or tape, optically or magneto-optically readable memory such as compact disk or digital versatile disk etc., and the processing device utilizes the program or a part thereof to configure it for operation. The computer program may be supplied from a remote source embodied in a communications medium such as an electronic signal, radio frequency carrier wave or optical carrier wave. Such carrier media are also envisaged as aspects of the present disclosure.
It will be understood by those skilled in the art that, although the present disclosure has been described in relation to the above described example embodiments, the disclosure is not limited thereto and that there are many possible variations and modifications which fall within the scope of the disclosure.
The scope of the present disclosure includes any novel features or combination of features disclosed herein. The applicant hereby gives notice that new claims may be formulated to such features or combination of features during prosecution of this application or of any such further applications derived therefrom. In particular, with reference to the appended claims, features from dependent claims may be combined with those of the independent claims and features from respective independent claims may be combined in any appropriate manner and not merely in the specific combinations enumerated in the claims.
Number | Date | Country | Kind |
---|---|---|---|
19150868 | Jan 2019 | EP | regional |
Number | Name | Date | Kind |
---|---|---|---|
5757913 | Bellare | May 1998 | A |
7801306 | Reitmeier | Sep 2010 | B2 |
8879727 | Taylor | Nov 2014 | B2 |
9311494 | Fujii et al. | Apr 2016 | B2 |
9537650 | Auradkar et al. | Jan 2017 | B2 |
9635011 | Wu | Apr 2017 | B1 |
9985780 | Yamada | May 2018 | B2 |
10021085 | Wu | Jul 2018 | B1 |
10313231 | Bosshart | Jun 2019 | B1 |
10348693 | Auradkar et al. | Jul 2019 | B2 |
10521612 | Arad | Dec 2019 | B2 |
10892921 | Nagata | Jan 2021 | B2 |
20010021254 | Furuya | Sep 2001 | A1 |
20020152218 | Moulton | Oct 2002 | A1 |
20090041235 | Reitmeier | Feb 2009 | A1 |
20090060197 | Taylor | Mar 2009 | A1 |
20090265397 | Williams | Oct 2009 | A1 |
20100189257 | Bjorkengren | Jul 2010 | A1 |
20100303229 | Unruh | Dec 2010 | A1 |
20110145593 | Auradkar et al. | Jun 2011 | A1 |
20120082310 | Rashkovskiy | Apr 2012 | A1 |
20120147988 | Neeman | Jun 2012 | A1 |
20120221854 | Orsini | Aug 2012 | A1 |
20120222134 | Orsini | Aug 2012 | A1 |
20120226904 | Orsini | Sep 2012 | A1 |
20120255034 | Orsini | Oct 2012 | A1 |
20120255035 | Orsini | Oct 2012 | A1 |
20130024933 | Jakobsson | Jan 2013 | A1 |
20130067225 | Shochet | Mar 2013 | A1 |
20130232578 | Chevallier-Mames | Sep 2013 | A1 |
20130276074 | Orsini | Oct 2013 | A1 |
20140331044 | Fujii et al. | Nov 2014 | A1 |
20150381582 | O'Hare | Dec 2015 | A1 |
20180240191 | Aronson | Aug 2018 | A1 |
20180367509 | O'Hare | Dec 2018 | A1 |
20180373885 | Arad | Dec 2018 | A1 |
20190007390 | Wu | Jan 2019 | A1 |
20190132162 | Nagata | May 2019 | A1 |
20190273781 | Daniel | Sep 2019 | A1 |
20200153813 | Wu | May 2020 | A1 |
20200204197 | Maunder | Jun 2020 | A1 |
20210194800 | Bosshart | Jun 2021 | A1 |
20210211271 | Kuang | Jul 2021 | A1 |
Number | Date | Country |
---|---|---|
1193666 | Apr 2002 | EP |
1193666 | Jun 2006 | EP |
2392097 | Dec 2011 | EP |
2584732 | Apr 2013 | EP |
2584732 | Oct 2019 | EP |
WO-2016073148 | May 2016 | WO |
Entry |
---|
Search Query Report from IP.com (performed Apr. 21, 2021) (Year: 2021). |
Search Query Report from IP.com (performed Jan. 27, 2022) (Year: 2022). |
Search Query Report from IP.com (performed Aug. 10, 2022) (Year: 2022). |
Search Query Report from IP.com (performed Dec. 21, 2022) (Year: 2022). |
Combination Search and Examination Report under Sections 17 & 18(3) for Great Britain Application No. 1900270.8, dated Jun. 7, 2019, 6 pages. |
Extended European Search Report for European Application No. 19150868.8, dated Jul. 9, 2019, 5 pages. |
Extended European Search Report for European Application No. 19217451.4, dated Apr. 30, 2020, 6 pages. |
Xiao et al., A Hybrid Scheme for Fine-Grained Search and Access Authorization in Fog Computing Environment, Apr. 6, 2017, Sensors, Sensors 2017, 17, 1423, pp. 1-22. (Year: 2017). |
Bosch, C., “A Survey of Provably Secure Searchable Encryption”, 2014, 51 pages. |
Combined search and Examination Report for Great Britain Application No. 1900271.6, dated Jun. 7, 2019, 6 pages. |
Curtmol R., et al., “Searchable Symmetric Encryption: Improved Definitions and Efficient Constructions,” 2006, 33 pages. |
Extended European Search Report for Application No. 19150865.4, dated Jul. 12, 2019, 8 pages. |
Extended European Search Report for Application No. EP19160215.0, dated Jul. 22, 2019, 5 pages. |
Girme M R., et al., “Efficient Secure Ranked Keyword Search Algorithms Over Outsource Cloud Data,” Sep.-Oct. 2013, 5 pages. |
Golle P., et al., “Secure Conjunctive Keyword Search Over Encrypted Data”, 2004, 15 pages. |
Hwang Y H., et al., “Public Key Encryption with Conjunctive Keyword Search and its Extension to a Multi-User System,” 2007, 19 pages. |
International Preliminary Report on Patentability for Application No. PCT/EP2019/085937, dated Jul. 22, 2021, 8 pages. |
International Search Report and Written Opinion for Application No. PCT/EP2019/085937, dated Jan. 31, 2020, 13 pages. |
Kamara S., et al., “Dynamic Searchable Symmetric Encryption,” 2012, 24 pages. |
Li et al., “Fuzzy Keyword Search over Encrypted Data in Cloud Computing,” 2010, 5 pages. |
Li et al., “Security Analysis on One-to-Many Order Preserving Encryption BasedCloud Data Search,” 2015, vol. 10, No. 9, 9 pages. |
Liesdonk P V., et al., “Computationally Efficient Searchable Symmetric Encryption,” 2010, 14 pages. |
Pastoriza T., et al., “Privacy-Preserving Error Resilient DNA Searching through Oblivious Automata,” 2007, 10 pages. |
Popa R.A., et al., “Multi-key Searchable Encryption,” 2013, 18 pages. |
Song, “Computationally Efficient Searchable Symmetric Encryption”, 2010, 178 pages. |
Song X., et al., “Forward Private Searchable Symmetric Encryption with Optimized 110Efficiency,” Sep. 30, 2017, 15 pages. |
Tahir S., et al.,“A Ranked Searchable Encryption Scheme for Encrypted DataHosted on the Public Cloud,” IEEE, 2017, 6 pages. |
Tang Q., “Nothing is for Free: Security in Searching Shared & EncryptedData,” 2014, 13 pages. |
Wang B., et al. “Geometric Range Search on Encrypted Spatial Data,” Apr. 2016, 16 pages. |
Wang C., et al., “Enabling Secure and Efficient Ranked Keyword Search OverOutsourced Cloud Data,” Aug. 2012, 13 pages. |
Wang C., et al., “Secure Ranked Keyword Search over Encrypted Cloud Data,” 2010, 10 pages. |
Number | Date | Country | |
---|---|---|---|
20200220714 A1 | Jul 2020 | US |