The present application is based on PCT filing PCT/JP2019/031477, filed Aug. 8, 2019, which claims priority to JP 2018-152413, filed Aug. 13, 2018, the entire contents of each are incorporated herein by reference.
The present invention relates to secure computation techniques. In particular, it relates to techniques for joining two tables while maintaining confidentiality.
In the field of secure computation techniques, there is a demand for a technique for joining two tables while maintaining confidentiality.
For example, a technique described in Non-patent Literature 1 is known as a technique for joining two tables while maintaining confidentiality. Non-patent Literature 1 has realized equi-join in a case with key overlap.
Non-Patent Literature 1: Naoto Kiribuchi, Dai Ikarashi, Gembu Morohashi, and Koki Hamada, “An Efficient Equi-Join Algorithm for Secure Computation and Its Implementation Toward Secure Comprehensive Analyses of Users' Attribute and History Information”,
The present invention provides a secure joining information generation system, a secure joining system, methods therefor, a secure computing apparatus, and a program for generating information necessary to join two tables while maintaining confidentiality in a case with no key overlap more rapidly than the technique of Non-patent Literature 1.
A secure joining information generation system according to an aspect of the present invention is a secure joining information generation system including a plurality of secure computing apparatuses, where Fk and Fv are arbitrary rings; [α] is a share generated by secret sharing of α, with α being an arbitrary vector or arbitrary permutation; m0 and m1 are integers greater than or equal to 1; k0 ∈ Fkm0 is a vector of a key of a first table; V0 ∈ Fvm0 is a vector of an attribute value of the first table; k1 ∈ Fkm1 is a vector of a key of a second table; v1 ∈ Fvm1 is a vector of an attribute value of the second table; and π0 and π1 are predetermined permutations with lengths of m0 and m1, respectively. The plurality of secure computing apparatuses include: a plurality of vector joining units that use a share [k0] of the vector k0 and a share [k1] of the vector k1 to generate a share [k] of a vector k ∈ [Fk]m0+m1 which is generated by joining the vector k0 and the vector k1; a plurality of first vector generation units that generate a share [f] of a vector f which is generated by joining m0 0's and m1 1's; a plurality of first permutation calculation units that use the share [k] to generate a share [σ] of a permutation σ for stable sorting of the vector k; a plurality of first permutation application units that use the share [k], the share [σ], and the share [f] to generate a share [σ(k)] of a vector σ(k) which is generated by application of the permutation σ to the vector k and a share [σ(f)] of a vector σ(f) which is generated by application of the permutation σ to the vector f; a plurality of second vector generation units that use the share [σ(k)] to generate a share [e] of a vector e which has 1 when a certain element of the vector σ(k) and an element following that element are the same and has 0 when they are different as an element corresponding to that element; a plurality of third vector generation units that use the share [e] to generate a share [e′] of a vector e′, which is generated by bit inversion of each element of a vector which has 1 when one of a certain element of the vector e and an element preceding that element is 1 and has 0 otherwise as an element corresponding to that element; a plurality of second permutation calculation units that use the share [e′] to generate a share [σ′] of a permutation σ′ for stable sorting of the vector e′; a plurality of second permutation application units that use the share [σ(f)] and the share [σ′] to generate a share [f′] of a vector f′=σ′(σ(f)) which is generated by application of the permutation σ′ to the vector σ(f); a plurality of fourth vector generation units that use the share [f′] to generate a share [s] of a vector s, each element of which is a sum of elements of the vector f′ up to an element corresponding to that element, the elements including the element corresponding to that element, and a share [s′] of a vector s′, each element of which is a sum of elements of a bit-inverted vector up to an element corresponding to that element, the elements including the element corresponding to that element, where the bit-inverted vector is a vector generated by bit inversion of each element of the vector f′; a plurality of fifth vector generation units that use the share [f′], the share [s], and the share [s′] to calculate a share [σ″] of a vector σ″=f′s+(1−f′)s′−1; a plurality of first inverse permutation application units that use the share [e′] and the share [σ] to generate a share [e″] of a vector e″=σ−1(e′) which is generated by application of an inverse permutation σ−1 of the permutation σ to the vector e′; a plurality of first vector separation units that use the share [e″] to generate a share [g0] of a vector g0 which is formed from first m0 elements of the vector e″ and a share [g1] of a vector g1 which is formed from remaining m1 elements of the vector e″; a plurality of second inverse permutation application units that use the share [σ″], the share [σ], and the share [σ′] to generate a share [σ′″−1] of a vector σ′″−1=σ−1(σ′−1(σ″)) which is generated by application of an inverse permutation σ′−1 of the permutation σ′ and the inverse permutation σ−1 of the permutation σ to the vector x; a plurality of second vector separation units that use the share [σ′″−1] to generate a share [σ0−1] of a vector σ0−1 which is formed from first m0 elements of the vector σ′″−1 and a share [σ1−1] of a vector σ1−1 which is formed from remaining m1 elements of the vector σ′″−1; and a plurality of third permutation application units that use the share [σ0−1], the share [σ1−1], a share [π0] of the permutation π0, and a share [π1] of the permutation π1 to generate a share [π0(σ0−1)] of a vector π0(σ0−1) which is generated by application of the permutation π0 to the vector σ0−1 and a share [π1(σ1−1)] of a vector π1(σ1−1) which is generated by application of the permutation π1 to the vector σ1−1, and release the π0(σ0−1) and the π1(σ1−1).
A secure joining system according to an aspect of the present invention includes the plurality of secure computing apparatuses of the secure joining information generation system described above. The plurality of secure computing apparatuses further include: a plurality of fourth permutation application units that use the share [k0] of the vector k0, a share [v0] of the vector v0, the share [k1] of the vector k1, and a share [v1] of the vector v1 to calculate a share [k0′] of a vector k0′=(π0(σ0−1))−1(π0(k0)), a share [v0′] of a vector v0′=(π0(σ0−1))−1(π0(v0)), a share [k1′] of a vector k1′=(π1(σ1−1))−1(π1(k1′)), and a share [v1′] of a vector v1′=(π1(σ1−1))−1(π1(v1′)); and a plurality of first joined table generation units that use the share [k0′], the share [v0′], the share [k1′], and the share [v1′] to generate a joined table which joins a vector generated by extracting first c elements of the vector k0′, a vector generated by extracting first c elements of the vector v0′, a vector generated by extracting first c elements of the vector k1′, and a vector generated by extracting first c elements of the vector v1′, where c is the number of 0 elements in the vector g0 or the vector g1.
A secure joining system according to an aspect of the present invention is a secure joining system including a plurality of secure computing apparatuses, where Fk and Fv are arbitrary rings; [α] is a share generated by secret sharing of α, with α being an arbitrary vector or arbitrary permutation; m0 and m1 are integers greater than or equal to 1; k0 ∈ Fkm0 is a vector of a key of a first table; v0 ∈ Fvm0 is a vector of an attribute value of the first table; k1 ∈ Fkm1 is a vector of a key of a second table; v1 ∈ Fvm1 is a vector of an attribute value of the second table; and π0 and π1 are predetermined permutations with lengths of m0 and m1, respectively. The plurality of secure computing apparatuses include: a plurality of secure joining information generation units that use a share [k0] of the vector k0, a share [k1] of the vector k1, a share [π0] of the permutation π0, and a share [π1] of the permutation π1 to generate a share [π0(σ0−1)] of a vector π0(σ0−1) which is generated by application of the permutation π0 to an inverse permutation σ0−1 of a permutation σ0, where permutation of each vector of the first table with the permutation σ0 causes records for keys common to the first table and the second table to move to a head side, a share [π1(σ1−1)] of a vector π1(σ1−1) which is generated by application of the permutation π1 to an inverse permutation σ1−1 of a permutation σ1, where permutation of each vector of the second table with the permutation σ1 causes records for keys common to the first table and the second table to move to the head side, a share [g0] of a vector g0 which is formed from a value g0,i indicating whether the ith record of the first table is a record for a key that is common to the first table and the second table, and a share [g1] of a vector g1 which is formed from a value g1,i indicating whether the ith record of the second table is a record for a key that is common to the first table and the second table; a plurality of filtering units that use the share [g1], the share [k1] of the vector k1, and the share [v1] of the vector v1 to generate a modified second table in which if g1,i=1, the ith element of the key of the second table is set to a predefined value u1,k indicating null and the ith element of the attribute of the second table is set to a predefined value u1,v indicating null, where g1,i is the ith element of the vector g1; a plurality of fifth permutation application units that use the share [k0] of the vector k0, a share [v0] of the vector v0, a share [k1′] of k1′, which is a vector of the key of the modified second table, a share [v1′] of v1′, which is a vector of the attribute value of the modified second table, the share [π0] of the permutation π0, the share [π1] of the permutation π1, the share [π0(σ0−1)], and the share [π1(σ1−1)] to calculate a share [k0′] of a vector k0′=(π0(σ0−1))−1(π0(k0)), a share [v0′] of a vector v0′=(π0(σ0−1))−1(π0(v0)), a share [k1″] of a vector k1″=(π1(σ1−1))−1(π1(k1′)), and a share [v1″] of a vector v1″=(π1(σ1−1))−1(π1(v1′)); and a plurality of second joined table generation units that use the share [k0′], the share [v0′], the share [k1″], and the share [v1″] to generate, when m0<m1, a joined table which joins the vector k0′, the vector v0′, a vector generated by extracting first m0 elements of the vector k1″, and a vector generated by extracting first m0 elements of the vector v1″, and to generate, when m0>m1, a joined table which joins the vector k0′, the vector v0′, a vector generated by adding m0-m1 elements being a predefined value uk indicating null to the vector k1′, and a vector generated by adding m0-m1 elements being a predefined value uv indicating null to the vector v1″.
A secure joining system according to an aspect of the present invention is a secure joining system including a plurality of secure computing apparatuses, where Fk and Fv are arbitrary rings; [α] is a share generated by secret sharing of α, with α being an arbitrary vector or arbitrary permutation; m0 and m1 are integers greater than or equal to 1; k0 ∈ Fkm0 is a vector of a key of a first table; v0 ∈ Fvm0 is a vector of an attribute value of the first table; k1 ∈ Fkm1 is a vector of a key of a second table; v1 ∈ Fvm1 is a vector of an attribute value of the second table; and π0 and π1 are predetermined permutations with lengths of m0 and m1, respectively. The plurality of secure computing apparatuses include: a plurality of secure joining information generation units that use a share [k0] of the vector k0, a share [k1] of the vector k1, a share [π0] of the permutation π0, and a share [π1] of the permutation π1 to generate a share [π0(σ0−1)] of a vector π0(σ0−1) which is generated by application of the permutation π0 to an inverse permutation σ0−1 of a permutation σ0, where permutation of each vector of the first table with the permutation σ0 causes records for keys common to the first table and the second table to move to a head side, a share [π1(σ1−1)] of a vector π1(σ1−1) which is generated by application of the permutation π1 to an inverse permutation σ1−1 of a permutation σ1, where permutation of each vector of the second table with the permutation σ1 causes records for keys common to the first table and the second table to move to the head side, a share [g0] of a vector g0 which is formed from a value g0,i indicating whether the ith record of the first table is a record for a key that is common to the first table and the second table, and a share [g1] of a vector g1 which is formed from a value g1,i indicating whether the ith record of the second table is a record for a key that is common to the first table and the second table; a plurality of fourth permutation application units that use the share [k0] of the vector k0, a share [v0] of the vector v0, the share [k1] of the vector k1, and a share [v1] of the vector v1 to calculate a share [k0′] of a vector k0′=(π0(σ0−1))−1(π0(k0)), a share [v0′] of a vector v0′=(π0(σ0−1))−1(π0(v0)), a share [k1′] of a vector k1′=(π1(σ1−1))−1(π1(k1′)), and a share [v1′] of a vector v1′=(π1(σ1−1))−1(π1(v1′)); and a plurality of third joined table generation units that use the share [k0′], the share [v0′], the share [k1′], and the share [v1′] to generate a joined table which joins a table (1) which joins a vector generated by extracting first c elements of the vector k0′, a vector generated by extracting first c elements of the vector v0′, a vector generated by extracting first c elements of the vector k1′, and a vector generated by extracting first c elements of the vector v1′, a table (2) which joins a vector generated by extracting remaining m0-c elements of the vector k0′, a vector generated by extracting remaining m0-c elements of the vector v0′, and a vector having a value corresponding to the attribute value of the second table set to a predefined value u′1,v indicating null, and a table (3) which joins a vector generated by extracting remaining m0-c elements of the vector v0′, a vector generated by extracting remaining m1-c elements of the vector v1′, and a vector having a value corresponding to the attribute value of the first table set to a predefined value u′0,v indicating null, where c is the number of 0 elements in the vector g0 or the vector g1.
Use of inverse permutation makes it possible to generate information necessary to join two tables while maintaining confidentiality in a case with no key overlap more rapidly than the technique of Non-patent Literature 1. In turn, using the information, two tables can be joined while maintaining confidentiality in a case with no key overlap more rapidly than the technique of Non-patent Literature 1.
Embodiments of the present invention are described below in detail. In the drawings, components having the same function are given the same reference characters and overlapping description is omitted.
Secure Joining System and Method for Performing Inner Join
Referring to
The secure joining system includes N (≥2) secure computing apparatuses 11, . . . , 1N. In this embodiment, the secure computing apparatuses 11, . . . , 1N are each connected to a communication network 2. The communication network 2 is a circuit-switched or packet-switched communication network configured to allow communications between connected apparatuses, and can be the Internet, a local area network (LAN), a wide area network (WAN), and the like, for example. The apparatuses do not necessarily be capable of communicating online via the communication network 2. For example, they may be configured such that information entered to the secure computing apparatuses 11, . . . , 1N is stored in a portable recording medium such as magnetic tape or a USB memory and the information is entered offline to the secure computing apparatuses 11, . . . , 1N from the portable recording medium.
Referring to
By the components of the secure computing apparatus 1n (1≤n≤N) performing processing at each step described later in cooperation with the components of other secure computing apparatus 1n′ (n′=1, . . . , N; where n≠n′), the secure joining method according to the embodiment is implemented.
The processing at each step is performed in secure computation. That is, the secure computing apparatus 1n performs the processing at each step without reconstructing a share, in other words, without knowing the content of the share.
The secure computing apparatus 1n is a special apparatus configured by loading of a special program into a well-known or dedicated computer having a central processing unit (CPU), main storage unit (random access memory: RAM), and the like, for example. The secure computing apparatus 1n executes various kinds of processing under control of the central processing unit, for example. Data input to the secure computing apparatus 1n and data resulting from processing are stored in the main storage unit, for example, and the data stored in the main storage unit is read into the central processing unit as necessary to be used for other processing. The components of the secure computing apparatus 1n may at least partially consist of hardware such as an integrated circuit.
For the following description, [α] is assumed to be a share generated by secret sharing of α, with α being an arbitrary vector or an arbitrary permutation.
Referring to
For the following description, assume that m0, m1, L0, and L1 are integers greater than or equal to 1. m0, m1, L0, and L1 may be the same value or different values.
The first table has m0 records. Each one of the m0 records has one key and attribute values of L0 attributes. Let k0 ∈ Fkm0 be a vector of the keys of the first table. Let v0 ∈ Fvm0 be a vector of the attribute values of each attribute of the first table. It is assumed that there are no overlapping keys in the first table. In a case where the first table contains the attribute values of multiple attributes, v0 may be a vector which is a concatenation of the attribute values of the multiple attributes. For example, assume that the first table has two records and contains the attribute values of two attributes, where the vector of the attribute values of the first attribute is v0,1=(29, 169) and the vector of the attribute values of the second attribute is v0,1=(35, 175). In this case, v0 may be the vector v0=((29, 35), (169, 175)), which is a concatenation of the attribute values of these two attributes.
“m0” in the superscript to [Fk, Fv]m0 means “m0”. In this manner, representation of a further superscript or subscript can be omitted in a superscript. Similarly, representation of a further superscript or subscript can be omitted in a subscript.
The second table has m1 records. Each one of the m1 records has one key and attribute values of L1 attributes. Let k1 ∈ Fkm1 be a vector of the keys of the second table. Let v1 ∈ Fvm1 be a vector of the attribute values of each attribute of the second table. It is assumed that there are no overlapping keys in the second table. In a case where the second table contains the attribute values of multiple attributes, v1 may be a vector which is a concatenation of the attribute values of the multiple attributes like v0.
Since in general a vector with its elements being rings is also a ring, data formed by arranging the values of the respective attributes contained in a record can be considered to be a vector, that is, a ring.
For example, assume that the first table has three records and consists of a vector of keys, k0=(1, 2, 3), and a vector of the attribute values of one attribute, v0=(5, 10, 1).
Also assume that the second table has four records and consists of a vector of keys, k1=(1, 3, 4, 5), and a vector of the attribute values of one attribute, v1=(2, 4, 9, 8).
A share [k0] of the vector k0 and a share [k1] of the vector k1 are input to the vector joining units 111, . . . , 11N.
The vector joining units 111, . . . , 11N each join [k0] and [k1] to obtain [k] ∈ [Fk]m0+m1.
More specifically, the vector joining units 111, . . . , 11N each use the share [k0] of the vector k0 and the share [k1] of the vector k1 to generate a share [k] of a vector k ∈ [Fk]m0+m1 which is generated by joining the vector k0 and the vector k1 (step S1).
The generated share [k] is output to the first permutation calculation units 131, . . . , 13N and the first permutation application units 141, . . . , 14N.
For example, assume that the vector k0=(1, 2, 3) and the vector k1=(1, 3, 4, 5) hold. In this case, the vector k=(1, 2, 3, 1, 3, 4, 5) is yielded.
The first vector generation units 121, . . . , 12N each generate a share [f] of a vector f which is generated by joining m0 0's and m1 1's (step S2).
The share [f] is output to the first permutation application units 141, . . . , 14N.
For example, the vector f=(0, 0, 0, 1, 1, 1, 1) is yielded when m0=3 and m1=4.
The share [k] is input to the first permutation calculation units 131, . . . , 13N.
The first permutation calculation units 131, . . . , 13N each use the share [k] to generate a share [σ] of a permutation σ for stable sorting of the vector k (step S3).
The share [σ] is output to the first permutation application units 141, . . . , 14N, the first inverse permutation application units 1111 . . . 111N and the second inverse permutation application units 1131, . . . , 113N.
For example, when k=(1, 2, 3, 1, 3, 4, 5), the permutation a will be as shown in Formula (1) below. For example, assuming that numbers are denoted starting at 1, each sequence (i,j)T of the permutation σ means that the ith element of the vector to which the permutation is applied is moved to the jth element.
Stable sort refers to sorting in which the order of equal data before sorting is preserved after the sorting. Generation of the share [σ] of the permutation σ for performing a stable sort can be implemented with the approach of Reference Literature 1, for example.
[Reference Literature 1] Dai Ikarashi, Koki Hamada, Ryo Kikuchi, and Koji Chida, “A Design and an Implementation of Super-high-speed Multi-party Sorting: The Day When Multi-party Computation Reaches Scripting Languages”, CSS2017, 2017
The share [k], the share [σ], and the share [f] are input to the first permutation application units 141, . . . , 14N.
The first permutation application units 141, . . . , 14N each use the share [k], the share [σ], and the share [f] to generate a share [σ(k)] of a vector σ(k) which is generated by application of the permutation σ to the vector k and a share [σ(f)] of a vector σ(f) which is generated by application of the permutation σ to the vector f (step S4).
The share [σ(k)] is output to the second vector generation units 151, . . . , 15N.
The share [σ(f)] is output to the second permutation application units 18k, . . . , 18N.
For example, the vector σ(k)=(1, 1, 2, 3, 3, 4, 5) and the vector σ(f)=(0, 1, 0, 0, 1, 1, 1) are yielded when the vector k=(1, 2, 3, 1, 3, 4, 5) and the vector f=(0, 0, 0, 1, 1, 1, 1) hold and the permutation σ is the permutation defined by the Formula (1) above.
The share [σ(k)] is input to the second vector generation units 151, . . . , 15N.
The second vector generation units 151, . . . , 15N each use the share [σ(k)] to generate a share [e] of a vector e which has 1 when a certain element of the vector σ(k) and the element following that element are the same and has 0 when they are different as the element corresponding to that element (step S5). Here, assume that en−1=0 holds.
The share [e] is output to the third vector generation units 161, . . . , 16N.
For example, the vector e=(1, 0, 0, 1, 0, 0, 0) is yielded when the vector σ(k)=(1, 1, 2, 3, 3, 4, 5).
The share [e] is input to the third vector generation units 161, . . . , 16N.
The third vector generation units 161, . . . , 16N each use the share [e] to generate a share [e′] of a vector e′, which is generated by bit inversion of each element of a vector which has 1 when one of a certain element of the vector e and the element preceding that element is 1 and has 0 otherwise as the element corresponding to that element (step S6).
The share [e′] is output to the second permutation calculation units 171, . . . , 17N and the first inverse permutation application units 1111, . . . , 111N.
For example, the vector e′=(0, 0, 1, 0, 0, 1, 1) is yielded when the vector e=(1, 0, 0, 1, 0, 0, 0).
The share [e′] is input to the second permutation calculation units 171, . . . , 17N.
The second permutation calculation units 171, . . . , 17N each use the share [e′] to generate a share [σ′] of a permutation σ′ for stable sorting of the vector e′ (step S7).
The share [σ′] is output to the second permutation application units 181, . . . , 18N and the second inverse permutation application units 1131, . . . , 113N.
For example, the permutation σ′ will be as shown in Formula (2) below when the vector e′=(0, 0, 1, 0, 0, 1, 1).
The share [σ(f)] and the share [σ′] are input to the second permutation application units 181, . . . , 18N.
The second permutation application units 181, . . . , 18N each use the share [σ(f)] and the share [σ′] to generate a share [f′] of a vector f′=σ′(σ(f)) which is generated by application of the permutation σ′ to the vector σ(f) (step S8).
The share [f′] is output to the fourth vector generation units 191, . . . , 19N and the fifth vector generation units 1101, . . . , 110N.
For example, the vector f′=(0, 1, 0, 1, 0, 1, 1) is yielded when the vector σ(f)=(0, 1, 0, 0, 1, 1, 1) holds and the permutation σ′ is the permutation defined by the Formula (2) above.
The share [f′] is input to the fourth vector generation units 191, . . . , 19N.
The fourth vector generation units 191, . . . , 19N each use the share [f′] to generate a share [s] of a vector s, each element of which is a sum of elements of the vector f′ up to an element corresponding to that element, the elements including the element corresponding to that element, and a share [s′] of a vector s′, each element of which is a sum of elements of a bit-inverted vector up to an element corresponding to that element, the elements including the element corresponding to that element, where the bit-inverted vector is a vector generated by bit inversion of each element of the vector f′ (step S9).
The share [s] and the share [s′] are output to the fifth vector generation units 1101, . . . , 110N.
For example, the vector s=(0, 1, 1, 2, 2, 3, 4) and the vector s′=(1, 1, 2, 2, 3, 3, 3) are yielded when the vector f′=(0, 1, 0, 1, 0, 1, 1).
The share [f′], the share [s] and the share [s′] are input to the fifth vector generation units 1101, . . . , 110N.
The fifth vector generation units 1101, . . . , 110N each use the share [f′], the share [s], and the share [s′] to calculate a share [σ″] of a vector σ″=f′s+(1−f′)s′−1 (step S10).
The share [σ] is output to the second inverse permutation application units 1131, . . . , 113N.
For example, σ″=(0, 0, 1, 1, 2, 2, 3) is yielded when the vector s=(0, 1, 1, 2, 2, 3, 4) and the vector s′=(1, 1, 2, 2, 3, 3, 3).
The share [e′] and the share [σ] are input to the first inverse permutation application units 1111, . . . , 111N.
The first inverse permutation application units 1111, . . . , 111N each use the share [e′] and the share [σ] to generate a share [e″] of a vector e″=σ−1(e′) which is generated by application of an inverse permutation σ−1 of the permutation σ to the vector e′ (step S11).
The share [e″] is output to the first vector separation units 1121, . . . , 112N.
For example, the vector e″=(0, 1, 0, 0, 0, 1, 1) is yielded when the vector e′=(0, 0, 1, 0, 0, 1, 1) holds and the permutation σ is the permutation of the Formula (1) above.
The share [e″] is input to the first vector separation units 112k, . . . , 112N.
The first vector separation units 112k, . . . , 112N each use the share [e″] to generate a share [g0] of a vector g0 which is formed from the first m0 elements of the vector e″ and a share [g1] of a vector g1 which is formed from the remaining m1 elements of the vector e″ (step S12).
The share [g1] is output.
For example, the vector g0=(0, 1, 0) and the vector g1=(0, 0, 1, 1) are yielded when the vector e″=(0, 1, 0, 0, 0, 1, 1).
The share [σ″], the share [σ] and the share [σ′] are input to the second inverse permutation application units 1131, . . . , 113N.
The second inverse permutation application units 1131, . . . , 113N each use the share [σ″], the share [σ], and the share [σ] to generate a share [σ′″−1] of a vector σ′″−1=σ−1(σ′−1(σ″)) which is generated by application of an inverse permutation σ′−1 of the permutation σ′ and the inverse permutation σ−1 of the permutation σ to the vector x (step S13).
The share [σ′″−1] is output to the second vector separation units 1141, . . . , 114N.
For example, σ′″−1=(0, 2, 1, 0, 1, 2, 3) is yielded when the permutation σ is the permutation of the Formula (1) above and the permutation σ′ is the permutation of the Formula (2) above.
The share [σ′″−1] is input to the second vector separation units 1141, . . . , 114N.
The second vector separation units 1141, . . . , 114N each use the share [σ′″−1] to generate a share [σ0−1] of a vector σ0−1 which is formed from the first m0 elements of the vector σ′″−1 and a share [σ1−1] of a vector σ1−1 which is formed from the remaining m1 elements of the vector σ′″−1 (step S14).
The share [σ0−1] and the share [σ1−1] are output to the third permutation application units 1151, . . . , 115N.
For example, the vector σ0−1=(0, 2, 1) and the vector σ1−1=(0, 1, 2, 3) are yielded when σ′″−1=(0, 2, 1, 0, 1, 2, 3).
The share [σ0−1] and the share [σ1−1], a share [π0] of a permutation π0, and a share [π1] of a permutation π1 are input to the third permutation application units 1151, . . . , 115N.
The third permutation application units 1151, . . . , 115N each use the share [σ0−1], the share [σ1−1], the share [π0] of the permutation π0, and the share [π1] of the permutation π1 to generate a share [π0(σ0−1)] of a vector π0(σ0−1) which is generated by application of the permutation π0 to the vector σ0−1 and a share [π1(σ1−1)] of a vector π1(σ1−1) which is generated by application of the permutation π1 to the vector σ1−1, and release π0(σ0−1) and π1(σ1−1) (step S15).
The permutations π0 and π1 are predetermined permutations, which may be random permutations, for example. The permutations π0 and π1 may be predefined permutations or may be generated when the processing at step S15 is performed. The permutations π0 and π1 and their shares [π0] and [π1] can be generated by the approach described in Section 4.1 of Reference Literature 1, for example. It is assumed that the secure computing apparatus 1n (1≤n≤N) has information on the permutations π0 and π1 and their shares [π0] and [π1] and is capable of calculation using the permutations π0 and π1 and their shares [π0] and [π1].
For example, assume that the vector σ0−1=(0, 2, 1) and the vector σ1−1=(0, 1, 2, 3) hold, π0 is the permutation represented by Formula (3) below, and π1 is the permutation represented by Formula (4) below.
In this case, the vector π0(σ0−1)=(2, 1, 0) and the vector π1(σ1−1)=(2, 0, 3, 1) are yielded.
The share [k0] of the vector k0, the share [v0] of the vector v0, the share [k1] of the vector k1, and the share [v1] of the vector v1 are input to the fourth permutation application units 1161, . . . , 116N.
The fourth permutation application units 1161, . . . , 116N each use the share [k0] of the vector k0, the share [v0] of the vector v0, the share [k1] of the vector k1, and the share [v1] of the vector v1 to calculate a share [k0′] of a vector k0′=(π0(σ0−1))−1(π0(k0)), a share [v0′] of a vector v0′=(π0(σ0−1))−1(π0(v0)), a share [k1′] of a vector k1′=(901(σ1−1))−1(π1(k1′)), and a share [v1′] of a vector v1′=(π1(σ1−1))−1(π1(v1′)) (step S16).
The share [k0′], the share [v0′], the share [k1′], and the share [v1′] are output to the first joined table generation units 1171, . . . , 117N.
For example, the vector k0′=(1, 3, 2), the vector V0′=(5, 1, 10), a vector k1′=(1, 3, 4, 5), and a vector v1′=(2, 4, 9, 8) are yielded in a case where the vector k0=(1, 2, 3), the vector v0=(5, 10, 1), the vector k1=(1, 3, 4, 5), and the vector v1′=(2, 4, 9, 8) hold, the permutation π0 is the permutation represented by the Formula (3) above, and the permutation π1 is the permutation represented by the Formula (4) above.
The share [k0′], the share [v0′], the share [k1′], and the share [v1′] are input to the first joined table generation units 1171, . . . , 117N.
The first joined table generation units 1171, . . . , 117N each use the share [k0′], the share [v0′], the share [k1′], and the share [v1′] to generate a joined table which joins a vector generated by extracting the first c elements of the vector k0′, a vector generated by extracting the first c elements of the vector v0′, a vector generated by extracting the first c elements of the vector k1′, and a vector generated by extracting the first c elements of the vector v1′, where c is the number of 0 elements in the vector g0 or the vector g1 (step S17).
For example, the joined table will be the table shown below when the vector g0=(0, 1, 0), the vector k0′=(1, 3, 2), the vector V0′=(5, 1, 10), the vector k1′=(1, 3, 4, 5), and the vector v1′=(2, 4, 9, 8).
The joined table (A) above is a table generated by inner join of the first table which has three records and consists of the vector of keys, k0=(1, 2, 3), and the vector of attribute values of one attribute, v0=(5, 10, 1), and the second table which consists of the vector of keys, k1=(1, 3, 4, 5), and the vector of attribute values of one attribute, v1=(2, 4, 9, 8).
In this manner, use of inverse permutation enables two tables to be joined while maintaining confidentiality in a case with no key overlap more rapidly than the technique of Non-patent Literature 1.
[Secure Joining System and Method for Performing Left Outer Join]
Referring to
The secure joining system for performing left outer join is similar to the secure joining system for performing inner join except that it includes a filtering unit 118n, a fifth permutation application unit 119n, and a second joined table generation unit 120n instead of including the fourth permutation application unit 116n and the first joined table generation unit 117n.
The secure joining method for performing left outer join is similar to the secure joining method for performing inner join except that it performs the processing at steps S18 to S20 instead of performing the processing at step S16 and step S17.
In the following, differences from the secure joining system and method for performing inner join are described. The same portions as those of the secure joining system and method for performing inner join are not described again.
As shown in
First, processing at <step S1> to <step S15> is performed. As the processing at <step S1> to <step S15> is similar to the processing at <step S1> to <step S15> described in Section [Secure joining system and method for performing inner join], overlapping description is not repeated here.
Then, the processing at steps S18 to S20 described below is performed.
The share [g1], the share [k1] of the vector k1, and the share [v1] of the vector v1 are input to the filtering units 1181, . . . , 118N.
The filtering units 1181, . . . , 118N each use the share [g1], the share [k1] of the vector k1, and the share [v1] of the vector v1 to generate a modified second table in which if g1,i=1, the ith element of the key of the second table is set to a predefined value u1,k indicating null and the ith element of the attribute of the second table is set to a predefined value u1,v indicating null, where g1,i is the ith element of the vector g1 (step S18). Let k1′ be the vector of the key of the modified second table, and let v1′ be the vector of the attribute value of the modified second table.
The modified second table is output to the fifth permutation application units 1191, . . . , 119N.
For example, the modified second table will be the table shown below when the second table consists of the vector of keys, k1=(1, 3, 4, 5), and the vector of attribute values of one attribute, v1=(2, 4, 9, 8), and the vector g1=(0, 0, 1, 1) holds.
The share [k0] of the vector k0, the share [v0] of the vector v0, the share [k1′] of k1′, which is the vector of the key of the modified second table, the share [v1′] of v1′, which is the vector of the attribute value of the modified second table, the share [π0] of the permutation π0, the share [π1] of the permutation π1, the share [π0(σ0−1)], and the share [π1(σ1−1)] are input to the fifth permutation application units 1191, . . . , 119N.
The fifth permutation application units 1191, . . . , 119N each use the share [k0] of the vector k0, the share [V0] of the vector v0, the share [k1′] of k1′, which is the vector of the key of the modified second table, the share [V1′] of v1′, which is the vector of the attribute value of the modified second table, the share [π0] of the permutation π0, the share [π1] of the permutation π1, the share [π0(σ0−1)], and the share [π1(σ1−1)] to calculate the share [k0′] of the vector k0′=(π0(σ0−1))−1(π0(π0)), the share [V0′] of the vector V0′=(π0(σ0−1))−1(π0(V0)), a share [k1″] of a vector k1″=(π1(σ1−1))−1(π1(k1′)), and a share [V1″] of a vector v1″=(π1(σ1−1))−1(π1(V1′)) (step 19).
The share [k0′], the share [v0′], the share [k1″], and the share [v1″] are output to the second joined table generation units 1201, . . . , 120N.
For example, the vector k0′=(1, 3, 2), the vector v0′=(5, 1, 10), the vector k1″=(1, 3, u1,k, u1,k), and the vector v1″=(2, 4, u1,v, u1,v) are yielded in a case where the vector k0=(1, 2, 3), the vector v0=(5, 10, 1), the vector k1′=(1, 3, u1,k, u1,k), and the vector v1′=(2, 4, u1,v, u1,v) hold, the permutation π0 is the permutation represented by the Formula (3) above, and the permutation π1 is the permutation represented by the Formula (4) above.
The share [k0′], the share [V0′], the share [k1′], and the share [V1″] are input to the second joined table generation units 1201, . . . , 120N.
The second joined table generation units 1201, . . . , 120N each use the share [k0′], the share [V0′], the share [k1″], and the share [V1″] to generate, when m0<m1, a joined table which joins the vector k0′, the vector V0′, a vector generated by extracting the first m0 elements of the vector k1″, and a vector generated by extracting the first m0 elements of the vector v1″, and to generate, when m0>m1, a joined table which joins a vector generated by adding m0-m1 elements being a predefined value uk indicating null to the vector k1″, a vector generated by adding m0-m1 elements being a predefined value uv indicating null to the vector v1″, the vector k0′, and the vector V0′ (step S20).
For example, the joined table will be the table shown below when the vector k0′=(1, 3, 2), the vector v0′=(5, 1, 10), the vector k1″=(1, 3, u1,k, u1,k), and the vector v1″=(2, 4, u1,v, u1,v).
The joined table (C) above is a table generated by left outer join of the first table which has three records and consists of the vector of keys, k0=(1, 2, 3), and the vector of attribute values of one attribute, v0=(5, 10, 1), and the second table which consists of the vector of keys, k1=(1, 3, 4, 5), and the vector of attribute values of one attribute, v1=(2, 4, 9, 8).
As another example, the joined table will be the table shown below when the vector k0′=(1, 3, 4, 5), the vector v0′=(2, 4, 9, 8), the vector k1″=(1, 3), and the vector v1″=(5, 1).
With this embodiment, left outer join of the first table and the second table can be performed while maintaining confidentiality.
In this manner, use of inverse permutation enables two tables to be joined while maintaining confidentiality in a case with no key overlap more rapidly than the technique of Non-patent Literature 1.
Referring to
The secure joining system for performing full outer join is similar to the secure joining system for performing inner join except that it includes a third joined table generation unit 121n instead of including the first joined table generation unit 117n.
The secure joining method for performing full outer join is similar to the secure joining method for performing inner join except that it performs the processing at step S21 instead of performing the processing at step S17.
In the following, differences from the secure joining system and method for performing inner join are described. The same portions as those of the secure joining system and method for performing inner join are not described again.
As shown in
First, processing at <step S1> to <step S16> is performed. As the processing at <step S1> to <step S16> is similar to the processing at <step S1> to <step S16> described in Section [Secure joining system and method for performing inner join], overlapping description is not repeated here.
Then, the processing at step S21 described below is performed.
The share [k0′], the share [v0′], the share [k1′], and the share [v1′] are input to the third joined table generation units 1211, . . . , 121N.
The third joined table generation units 1211, . . . , 121N each use the share [k0′], the share [v0′], the share [k1′], and the share [v1′] to generate a joined table which joins a table (1) which joins a vector generated by extracting the first c elements of the vector k0′, a vector generated by extracting the first c elements of the vector v0′, a vector generated by extracting the first c elements of the vector k1′, and a vector generated by extracting the first c elements of the vector v1′, a table (2) which joins a vector generated by extracting the remaining m0-c elements of the vector k0′, a vector generated by extracting the remaining m0-c elements of the vector v0′, and a vector having a value corresponding to the attribute value of the second table set to a predefined value u′1,v indicating null, and a table (3) which joins a vector generated by extracting the remaining m0-c elements of the vector v0′, a vector generated by extracting the remaining m1-c elements of the vector v1′, and a vector having a value corresponding to the attribute value of the first table set to a predefined value u′0,v indicating null, where c is the number of 0 elements in the vector g0 or the vector g1 (step S21).
For example, the joined table will be the table shown below when the vector g0=(0, 1, 0), the vector k0′=(1, 3, 2), the vector V0′=(5, 1, 10), the vector k1′=(1, 3, 4, 5), and the vector v1′=(2, 4, 9, 8).
In the table below, the table from the first row to the second row corresponds to table (1), the table in the third row corresponds to table (2), and the table from the fourth row to the fifth row corresponds to table (3).
The joined table (E) above is a table generated by full outer join of the first table which has three records and consists of the vector of keys, ko=(1, 2, 3), and the vector of attribute values of one attribute, v0=(5, 10, 1), and the second table which consists of the vector of keys, k1=(1, 3, 4, 5), and the vector of attribute values of one attribute, v1=(2, 4, 9, 8).
In this manner, use of inverse permutation enables two tables to be joined while maintaining confidentiality in a case with no key overlap more rapidly than the technique of Non-patent Literature 1.
[Secure Joining Information Generation System]
In the secure computing apparatus 1n of the secure joining system described above, the portion including the vector joining unit 11n, the first vector generation unit 12n, the first permutation calculation unit 13n, the first permutation application unit 14n, the second vector generation unit 15n, the third vector generation unit 16n, the second permutation calculation unit 17n, the second permutation application unit 18n, the fourth vector generation unit 19n, the fifth vector generation unit 110C, the first inverse permutation application unit 111n, the first vector separation unit 112n, the second inverse permutation application unit 113n, the second vector separation unit 114n, and the third permutation application unit 115, represents the secure joining information generation system.
In other words, the secure computing apparatus 1n of the secure joining information generation system includes the vector joining unit 11n, the first vector generation unit 12n, the first permutation calculation unit 13n, the first permutation application unit 14n, the second vector generation unit 15n, the third vector generation unit 16n, the second permutation calculation unit 17n, the second permutation application unit 18n, the fourth vector generation unit 19n, the fifth vector generation unit 110C, the first inverse permutation application unit 111n, the first vector separation unit 112n, the second inverse permutation application unit 113n, the second vector separation unit 114n, and the third permutation application unit 115, as shown by broken lines in
The secure joining information generation method is implemented by the execution of steps S1 to S15 by the components of the secure computing apparatus 1n of the secure joining information generation system. As the processing at step S1 to step S15 is similar to those described above, overlapping description is not repeated.
Multiple secure joining information generation units of the secure joining information generation system can be said to use the share [k0] of the vector k0, the share [k1] of the vector k1, the share [π0] of the permutation π0, and the share [π1] of the permutation π1 to generate: the share [π0(σ0−1)] of the vector π0(σ0−1) which is generated by application of the permutation π0 to the inverse permutation σ0−1 of the permutation σ0, where permutation of each vector of the first table with the permutation σ0 causes records for keys common to the first table and the second table to move to the head side; the share [π1(σ1−1)] of the vector π1(σ1−1) which is generated by application of the permutation π1 to the inverse permutation σ1−1 of the permutation σ1, where permutation of each vector of the second table with the permutation σ1 causes records for keys common to the first table and the second table to move to the head side; the share [g0] of the vector g0 which is formed from a value g0,i indicating whether the ith record of the first table is a record for a key that is common to the first table and the second table; and the share [g1] of the vector g1 which is formed from a value g1,i indicating whether the ith record of the second table is a record for a key that is common to the first table and the second table.
While the embodiments of the present invention have been described, specific configurations are not limited to these embodiments, but design modifications and the like within a range not departing from the spirit of the invention are encompassed in the scope of the invention, of course.
For example, the attribute of a key may be a composite key of x attributes, where x is a positive integer greater than or equal to 2. In this case, the processing at step S1 may be performed in the following manner, for example.
The keys of the first table are assumed to be k0,0, . . . , k0,x−1. The keys of the second table are assumed to be k1,0, . . . , k1,x−1.
In this case, the processing at step S1 joins k0,i and k1,i to obtain k′i for each i (where i=0, . . . , x−1). Then, each k′i is turned into a bit representation by bit decomposition and joined horizontally. For example, when k′0=(1, 2, 3, 1, 3, 0, 1)T and k′1=(0, 0, 0, 0, 0, 1, 1)T, bit decomposition of k′0 results in (k′0)0=(1, 0, 1, 1, 1, 0, 1)T and (k′0)1=(0, 1, 1, 0, 1, 0, 0)T.
Here, since k′0 assumes a value from 1 to 3, each element of k′0 can be represented in 2 bits. (k′0)0 is the lower bit of k′0 upon bit decomposition, and (k′0)1 is the upper bit of k′0 upon bit decomposition. Since k′1 is inherently a 1-bit number in this example, it does not require decomposition and k′1=(k′1)0 is assumed. Horizontal joining of (k′0)0, (k′0)1, and (k′1)0 gives:
Regarding such an arrangement as a matrix and regarding each row of this matrix as a bit representation of the keys of one record, a vector of bit representations of keys, (1, 2, 3, 1, 3, 4, 5), is obtained. This vector can be k′ which is used at step S2 and after. In this manner, a case with a composite key can also be addressed.
For a composite key, overlap of keys refers to whether keys overlap in terms of combination of the values of the all key attributes and it is assumed that mere overlapping of the values of individual attributes is not regarded as an overlap. For example, a combination of (1, 0) and (1, 1) is not an overlap.
The various processes described in the embodiments may be executed in parallel or separately depending on the processing ability of an apparatus executing the process or on any necessity, rather than being executed in time series in accordance with the described order.
When various types of processing functions in the apparatuses described in the above embodiments are implemented on a computer, the contents of processing function to be contained in each apparatus is written by a program. With this program executed on the computer, various types of processing functions in the above-described apparatuses are implemented on the computer.
This program in which the contents of processing are written can be recorded in a computer-readable recording medium. The computer-readable recording medium may be any medium such as a magnetic recording device, an optical disk, a magneto-optical recording medium, and a semiconductor memory.
Distribution of this program is implemented by sales, transfer, rental, and other transactions of a portable recording medium such as a DVD and a CD-ROM on which the program is recorded, for example.
Furthermore, this program may be stored in a storage unit of a server computer and transferred from the server computer to other computers via a network so as to be distributed.
A computer which executes such program first stores the program recorded in a portable recording medium or transferred from a server computer once in a storage unit thereof, for example. When the processing is performed, the computer reads out the program stored in the storage unit thereof and performs processing in accordance with the program thus read out. As another execution form of this program, the computer may directly read out the program from a portable recording medium and perform processing in accordance with the program. Furthermore, each time the program is transferred to the computer from the server computer, the computer may sequentially perform processing in accordance with the received program. Alternatively, a configuration may be adopted in which the transfer of a program to the computer from the server computer is not performed and the above-described processing is executed by so-called application service provider (ASP)-type service by which the processing functions are implemented only by an instruction for execution thereof and result acquisition. It should be noted that a program in this form includes information which is provided for processing performed by electronic calculation equipment and which is equivalent to a program (such as data which is not a direct instruction to the computer but has a property specifying the processing performed by the computer).
In this form, the present apparatus is configured with a predetermined program executed on a computer. However, the present apparatus may be configured with at least part of these processing contents realized in a hardware manner.
Number | Date | Country | Kind |
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2018-152413 | Aug 2018 | JP | national |
Filing Document | Filing Date | Country | Kind |
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PCT/JP2019/031477 | 8/8/2019 | WO |
Publishing Document | Publishing Date | Country | Kind |
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WO2020/036127 | 2/20/2020 | WO | A |
Number | Name | Date | Kind |
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20190228010 | Karashi et al. | Jul 2019 | A1 |
Number | Date | Country |
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2018061800 | Apr 2018 | WO |
Entry |
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Kiribuchi et al., “An Efficient Equi-Join Algorithm for Secure Computation and Its Implementation Toward Secure Comprehensive Analyses of Users' Attribute and History Information”, NTT Secure Platform Laboratories, CSS2016, 14 pages (7 pages of English Translation). |
Number | Date | Country | |
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20210182419 A1 | Jun 2021 | US |