CN116911809B - Human resource management system for supply chain enterprises based on block chain technology - Google Patents

Human resource management system for supply chain enterprises based on block chain technology Download PDF

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CN116911809B
CN116911809B CN202311076153.XA CN202311076153A CN116911809B CN 116911809 B CN116911809 B CN 116911809B CN 202311076153 A CN202311076153 A CN 202311076153A CN 116911809 B CN116911809 B CN 116911809B
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CN116911809A (en
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王庆华
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Hohang International Guangzhou Co ltd
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Abstract

The invention discloses a human resource management system of a supply chain enterprise based on a block chain technology, which comprises: the system comprises an initialization module, a human resource data encryption module, a human resource data storage ciphertext module, a storage attribute ciphertext module and a human resource data decryption module, wherein the human resource data storage ciphertext module calculates a hash value of human resource data, a fully homomorphic encryption technology is used for hiding an access strategy, a storage transaction is signed, a human resource data storage transaction is generated, and human resource data is stored on a block chain in a ciphertext mode. The invention belongs to the technical field of human resources, solves the technical problems that single-point faults and data tampering exist in a storage mode, and the personal sensitive data of a user can face the technical problems of unauthorized access, leakage or abuse and the technical problems that access strategies and user attributes are easy to expose.

Description

Human resource management system for supply chain enterprises based on block chain technology
Technical Field
The invention belongs to the technical field of human resources, and particularly relates to a human resource management system of a supply chain enterprise based on a block chain technology.
Background
In a supply chain enterprise human resource management system, data management is a critical aspect. However, the traditional human resource data storage mode of the supply chain enterprise has the problems that single-point faults and risks of data tampering are caused, data loss and irrecoverability are easy to cause, inaccuracy and unreliability of human resource data are increased, and negative influence is caused to the management of the supply chain enterprise; in the traditional data encryption mode, personal sensitive data of a user can face the technical problem of unauthorized access, leakage or abuse; there is a technical problem that access policies and user attributes are easily exposed, resulting in leakage of human resource data of supply chain enterprises.
Disclosure of Invention
Aiming at the problems that single-point faults and risks of data tampering exist in a traditional human resource data storage mode of a supply chain enterprise, data loss and irrecoverability are easy to cause, inaccuracy and unreliability of human resource data are increased, and negative effects are caused to management of the supply chain enterprise, the human resource data are stored on a blockchain, the risk of single-point faults is reduced, signature and verification are carried out on storage matters, any tampering action on the data can be detected, the data is prevented from being tampered or deleted, and the reliability and the authenticity of the data are improved; aiming at the technical problem that personal sensitive data of a user can be subjected to unauthorized access, leakage or abuse in a traditional data encryption mode, the scheme introduces a randomization technology, and the personal data can be effectively confused by introducing random values in the random selection attribute quantity and attribute domain in the encryption and storage processes, so that the personal data is not easy to identify and associate, an attacker cannot accurately obtain the personal data, even if the attacker obtains certain attribute data, the attacker can hardly restore the complete data of the user through the data, the privacy of the personal data is effectively protected, and the safety of the data is improved; aiming at the technical problem that the access strategy and the user attribute are easy to expose, so that the human resource data of a supply chain enterprise are revealed, the access strategy and the attribute data are hidden by using an encryption technology, the access strategy is hidden in a human resource data storage stage, so that the privacy of the access strategy is ensured, a testing stage is added before decryption, whether the attribute of the user is matched with the hidden attribute in a secret is judged by using a testing algorithm of a fully homomorphic cryptosystem, so that the human resource data can only be accessed and decrypted by the user meeting the requirement of the access strategy, and the data leakage is effectively prevented.
The invention provides a supply chain enterprise human resource management system based on a block chain technology, which comprises an initialization module, a human resource data encryption module, a human resource data storage ciphertext module, a storage attribute ciphertext module and a human resource data decryption module, wherein the initialization module is used for initializing human resource data;
The initialization module initializes related parameters and a selection subgroup, defines an attribute domain of a user, and calculates a master key and a public key;
the human resource data encryption module sets an inquiry prevention strategy, a randomization technology is introduced, the number of randomly selected attributes is calculated in the encryption process, and human resource data is encrypted;
the human resource data storage ciphertext module calculates a hash value of human resource data, conceals an access strategy by using a completely homomorphic encryption technology, signs a storage transaction, generates a human resource data storage transaction, and stores the human resource data on a block chain in a ciphertext mode;
The storage attribute ciphertext module calculates signature values of the attribute data and the additional data, conceals the attribute by using a full homomorphic encryption technology, and stores the attribute data on a blockchain in a ciphertext mode;
the human resource data decryption module adds a test stage before decryption, uses a test algorithm of a completely homomorphic cryptosystem to judge whether the attribute of the user is matched with the hidden attribute in the secret, and enables the user meeting the access policy requirement to access and decrypt the human resource data.
Further, the initialization module specifically includes the following:
Acquiring parameters, presetting a safety parameter k by a supply chain enterprise administrator, taking the safety parameter k as input, and running a constructor Setup (1 k) to obtain prime numbers N, a finite field Z N *, a step p, a step r, a group G T and bilinear mapping e, wherein N is the prime number, G T is a dual group associated with G, and e is bilinear mapping between G and G T;
a subgroup is selected, two subgroups of order p and r are selected, and a generator G p is selected from G p, using the following formula:
G=Gp×Gr；
wherein G p and G r are subgroups of group G;
Defining attribute fields of users, for each attribute a i (i=1, 2, …, n), i is an index of the attribute, n is the number of attributes, selecting a random value { α i}1≤i≤n from Z N *, setting a i = The attribute domain of the user is constructed, and the attribute data of the user is represented by an n-bit character string alpha 1α2…αn, and the following formula is used:
；
U={A1,A2,…,An}；
wherein U is the attribute domain of the user;
the master key is calculated using the following formula:
MSK=（ω，β，{αi}1≤i≤n）；
Wherein MSK is the master key;
Calculating elements in the public key, selecting random elements omega and beta epsilon Z N *, and calculating the elements in the public key by the following formula:
Y=e（gp,gp）ω；
B=gp β；
Wherein Y and B are elements in the public key;
The public key is calculated using the following formula:
PK=（gp,Y,B,{Ai}1≤i≤n）；
where PK is the public key.
Further, the human resource data encryption module specifically includes the following contents:
setting an access policy, and using an n-bit character string b 1b2…bn to represent the access policy of a user by a supply chain enterprise administrator, wherein the following formula is used:
P={b1,b2,…,bn}；
；
wherein P is an access policy;
the number of randomly selected attributes is calculated, a random value r i∈ZN * is selected for each access right, and the following formula is used:
；
where r is the number of randomly selected attributes;
the elements in the text of the human resource data are calculated, and the formula is as follows:
C0=Br；
；
；
Wherein C 0, AndIs an element in ciphertext of the human resource data, M is plaintext, namely human resource data of a user, and T i is additional data of an attribute A i;
The ciphertext of the human resource data is calculated by the following formula:
；
wherein CT is ciphertext of human resource data;
Uploading ciphertext of the human resource data, and uploading the ciphertext of the human resource data of the user to the cloud server.
Further, the ciphertext module for storing the human resource data specifically comprises the following contents:
the private key of the manpower resource data signature is calculated, and the formula is as follows:
Br.SK=（r,{αi}1≤i≤n）；
In the formula, B r SK is a private key of the human resource data signature;
Acquiring input data, and acquiring the input data (ID s,Br.SK,CT,AddressCT, P, z), wherein ID s is an identifier of a current human resource data storage transaction, address CT is a cloud storage Address of ciphertext CT of the human resource data, and z is an attribute number in an access policy;
The hash value of the ciphertext of the human resource data is calculated, and the formula is as follows:
hc=H（CT）；
Wherein, H c is the hash value of the ciphertext of the human resource data, and H is the hash function;
The ciphertext of the access strategy is calculated, the access strategy is encrypted based on a completely homomorphic cryptosystem, the ciphertext of the access strategy is obtained, and the following formula is used:
E（P）=E（b1,b2,…,bn），i=1，2，…，n；
Wherein E (P) is ciphertext of an access policy, and E is a completely homomorphic cryptosystem;
The hash value of the memory transaction is calculated using the following formula:
hs=H（IDs,AddressCT,z,E（P）,hc）；
where h s is the hash value of the store transaction;
the signature value of the stored transaction is calculated, and the private key B r is used for signing the hash value of the stored transaction by using the manual resource data signature, wherein the adopted formula is as follows:
sign（hs）=sign（hs,Br.SK）；
Wherein sign (h s) is a signature value of a stored transaction, and sign is an RSA signature algorithm;
The ciphertext storage of the human resource data generates a human resource data storage transaction, and the human resource data storage transaction is issued on a block chain, and the formula is as follows:
Txstorage=（IDs,AddressCT,z,E（P）,hc,sign（hs））；
Where Tx storage is the generated human resource data storage transaction.
Further, the storage attribute ciphertext module specifically includes the following:
the attribute signature private key is calculated using the following formula:
Bω.SK=β+ω×r；
wherein, B ω SK is an attribute signature private key;
The signature values of the attribute data and the additional data are calculated, and the attribute data are signed by using a private key B ω SK, and the following formula is used:
sign（A，T）=sign（A，T，Br.SK）；
Wherein sign (A, T) is a signature value of the attribute data and the additional data, and A is the attribute data;
attribute authentication, a user submits an attribute authentication transaction by calling an attribute authentication function of an intelligent contract SC.AA, and the following formula is used:
SC.AA.submitRequest（A，T，sign（A，T））；
In the formula, SC.AA. Subtrequest is an attribute authentication function of the intelligent contract SC.AA;
acquiring input data, acquiring input data (ID t,Bω.SK,A,IDs), wherein ID t is an identifier of a current attribute authentication transaction;
calculating the ciphertext of the attribute, and obtaining the ciphertext of the attribute based on the encryption attribute of the completely homomorphic cryptosystem, wherein the formula is as follows:
E（A）=E（α1,α2,…,αn），i=1，2，…，n；
wherein E (A) is ciphertext of the attribute;
the hash value of the test transaction is calculated using the following formula:
ht=H（IDt,E（A）,IDs）；
where h t is the hash value of the test transaction;
Calculating a signature value of the test transaction, and signing the hash value of the test transaction by using an attribute signature private key B ω SK, wherein the following formula is used:
sign（ht）=sign（ht,Bω.SK）；
Where sign (h t) is the signature value of the test transaction;
the attribute store generates an attribute store transaction and publishes it on the blockchain using the following formula:
Txtest=（IDt,E（A）,IDs,sign（ht））；
Where Tx test is the generated attribute store transaction.
Further, the human resource data decryption module specifically includes the following contents:
homomorphic multiplication uses the following formula:
E（A）×E（P）=E（α1×b1,α2×b2,…,αn×bn）；
Wherein E (A) x E (P) is homomorphic multiplication of an attribute ciphertext and an access policy ciphertext;
The test value was calculated using the following formula:
E（z’）=E（A）×E（P）；
Wherein E (z') is a test value;
Judging whether the requirement of the access strategy is met, decrypting E (z ') by a supply chain enterprise administrator to obtain z ', and if z ' =z, enabling the attribute of the user to meet the requirement of the access strategy, and continuing the process; otherwise, ending the process;
Calculating the element in the private key, the supply chain enterprise administrator selects a random value s from Z N * and for each i e (1, 2, …, n), selects a random value { λ i}1≤i≤n from Z N *, and calculates the element in the private key using the following formula:
；
；
wherein D 0 and Is an element in the private key;
the private key is calculated using the following formula:
；
Wherein SK A is a private key;
the public key of the private key encryption is calculated by the following formula:
Bω.PK=（gp β）ω；
Wherein, B ω PK is a public key encrypted by a private key;
private key encryption, a supply chain enterprise administrator encrypts private key SK A using public key B ω PK, using the following formula:
；
Wherein E (SK A) is ciphertext encrypted by a private key;
uploading ciphertext of the private key, and releasing the ciphertext of the private key on a blockchain by a supply chain enterprise administrator;
acquiring ciphertext of the human resource data, and acquiring a cloud storage Address of the ciphertext CT of the human resource data through Address CT of Tx storage by a user and downloading to acquire the ciphertext of the corresponding human resource data;
The private key is obtained, and the user decrypts the ciphertext encrypted by the private key through the private key B ω SK to obtain the private key SK A;
Decrypting ciphertext of the human resource data, namely decrypting ciphertext CT of the human resource data by using a private key B ω SK to obtain the human resource data, wherein the formula is as follows:
；
in the formula, M1 is the decrypted plain text, i.e., human resource data.
By adopting the scheme, the beneficial effects obtained by the invention are as follows:
(1) Aiming at the technical problems that single-point faults and risks of data tampering exist in a traditional human resource data storage mode of a supply chain enterprise, data loss and irrecoverability are easy to cause, inaccuracy and unreliability of human resource data are increased, and negative influence is caused to management of the supply chain enterprise, the human resource data are stored on a blockchain, the risk of the single-point faults is reduced, signature and verification are carried out on storage matters, any tampering action of the data can be detected, the data is prevented from being tampered or deleted, and the reliability and the authenticity of the data are improved.
(2) Aiming at the technical problem that personal sensitive data of a user can be accessed, revealed or abused by unauthorized in a traditional data encryption mode, the scheme introduces a randomization technology, and by introducing random values in the random selection attribute quantity and attribute domain in the encryption and storage processes, the personal data can be effectively confused, so that the personal data is not easy to identify and associate, an attacker cannot accurately obtain the personal data, even if the attacker obtains certain attribute data, the attacker can hardly restore the complete data of the user through the data, the privacy of the personal data is effectively protected, and the security of the data is improved.
(3) Aiming at the technical problem that the access strategy and the user attribute are easy to expose, so that the human resource data of a supply chain enterprise are revealed, the access strategy and the attribute data are hidden by using an encryption technology, the access strategy is hidden in a human resource data storage stage, so that the privacy of the access strategy is ensured, a testing stage is added before decryption, whether the attribute of the user is matched with the hidden attribute in a secret is judged by using a testing algorithm of a fully homomorphic cryptosystem, so that the human resource data can only be accessed and decrypted by the user meeting the requirement of the access strategy, and the data leakage is effectively prevented.
Drawings
FIG. 1 is a schematic diagram of a human resource management system for a supply chain enterprise based on blockchain technology provided by the invention;
FIG. 2 is a schematic diagram of a human resources data encryption module;
FIG. 3 is a schematic diagram of a ciphertext module for storing human resource data;
FIG. 4 is a schematic diagram of a storage attribute ciphertext module;
Fig. 5 is a schematic diagram of a human resource data decryption module.
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are only some, but not all embodiments of the invention; all other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
In the description of the present invention, it should be understood that the terms "upper," "lower," "front," "rear," "left," "right," "top," "bottom," "inner," "outer," and the like indicate orientation or positional relationships based on those shown in the drawings, merely to facilitate description of the invention and simplify the description, and do not indicate or imply that the devices or elements referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus should not be construed as limiting the invention.
Referring to fig. 1, the human resource management system of a supply chain enterprise based on the blockchain technology provided by the invention comprises an initialization module, a human resource data encryption module, a human resource data storage ciphertext module, a storage attribute ciphertext module and a human resource data decryption module;
The initialization module initializes related parameters and a selection subgroup, defines an attribute domain of a user, and calculates a master key and a public key;
the human resource data encryption module sets an inquiry prevention strategy, a randomization technology is introduced, the number of randomly selected attributes is calculated in the encryption process, and human resource data is encrypted;
the human resource data storage ciphertext module calculates a hash value of human resource data, conceals an access strategy by using a completely homomorphic encryption technology, signs a storage transaction, generates a human resource data storage transaction, and stores the human resource data on a block chain in a ciphertext mode;
The storage attribute ciphertext module calculates signature values of the attribute data and the additional data, conceals the attribute by using a full homomorphic encryption technology, and stores the attribute data on a blockchain in a ciphertext mode;
the human resource data decryption module adds a test stage before decryption, uses a test algorithm of a completely homomorphic cryptosystem to judge whether the attribute of the user is matched with the hidden attribute in the secret, and enables the user meeting the access policy requirement to access and decrypt the human resource data.
Referring to fig. 1, the initialization module according to the above embodiment specifically includes the following:
Acquiring parameters, presetting a safety parameter k by a supply chain enterprise administrator, taking the safety parameter k as input, and running a constructor Setup (1 k) to obtain prime numbers N, a finite field Z N *, a step p, a step r, a group G T and bilinear mapping e, wherein N is the prime number, G T is a dual group associated with G, and e is bilinear mapping between G and G T;
a subgroup is selected, two subgroups of order p and r are selected, and a generator G p is selected from G p, using the following formula:
G=Gp×Gr；
wherein G p and G r are subgroups of group G;
Defining attribute fields of users, for each attribute a i (i=1, 2, …, n), i is an index of the attribute, n is the number of attributes, selecting a random value { α i}1≤i≤n from Z N *, setting a i = The attribute domain of the user is constructed, and the attribute data of the user is represented by an n-bit character string alpha 1α2…αn, and the following formula is used:
；
U={A1,A2,…,An}；
wherein U is the attribute domain of the user;
the master key is calculated using the following formula:
MSK=（ω，β，{αi}1≤i≤n）；
Wherein MSK is the master key;
Calculating elements in the public key, selecting random elements omega and beta epsilon Z N *, and calculating the elements in the public key by the following formula:
Y=e（gp,gp）ω；
B=gp β；
Wherein Y and B are elements in the public key;
The public key is calculated using the following formula:
PK=（gp,Y,B,{Ai}1≤i≤n）；
where PK is the public key.
Referring to fig. 1 and 2, the human resource data encryption module according to the above embodiment specifically includes the following:
setting an access policy, and using an n-bit character string b 1b2…bn to represent the access policy of a user by a supply chain enterprise administrator, wherein the following formula is used:
P={b1,b2,…,bn}；
；
wherein P is an access policy;
the number of randomly selected attributes is calculated, a random value r i∈ZN * is selected for each access right, and the following formula is used:
；
where r is the number of randomly selected attributes;
the elements in the text of the human resource data are calculated, and the formula is as follows:
C0=Br；
；
；
Wherein C 0, AndIs an element in ciphertext of the human resource data, M is plaintext, namely human resource data of a user, and T i is additional data of an attribute A i;
The ciphertext of the human resource data is calculated by the following formula:
；
wherein CT is ciphertext of human resource data;
Uploading ciphertext of the human resource data, and uploading the ciphertext of the human resource data of the user to the cloud server.
By executing the above operations, aiming at the technical problem that personal sensitive data of a user can be subjected to unauthorized access, leakage or abuse in the traditional data encryption mode, the scheme introduces a randomization technology, and by introducing random values in the random selection attribute quantity and attribute domain in the encryption and storage processes, the personal data can be effectively confused, so that the personal data is not easy to identify and associate, an attacker cannot accurately obtain the personal data, even if the attacker obtains certain attribute data, the attacker can hardly restore the complete data of the user through the data, the privacy of the personal data is effectively protected, and the security of the data is improved.
In a fourth embodiment, referring to fig. 1 and 3, the ciphertext module for storing human resource data specifically includes the following contents:
the private key of the manpower resource data signature is calculated, and the formula is as follows:
Br.SK=（r,{αi}1≤i≤n）；
In the formula, B r SK is a private key of the human resource data signature;
Acquiring input data, and acquiring the input data (ID s,Br.SK,CT,AddressCT, P, z), wherein ID s is an identifier of a current human resource data storage transaction, address CT is a cloud storage Address of ciphertext CT of the human resource data, and z is an attribute number in an access policy;
The hash value of the ciphertext of the human resource data is calculated, and the formula is as follows:
hc=H（CT）；
Wherein, H c is the hash value of the ciphertext of the human resource data, and H is the hash function;
The ciphertext of the access strategy is calculated, the access strategy is encrypted based on a completely homomorphic cryptosystem, the ciphertext of the access strategy is obtained, and the following formula is used:
E（P）=E（b1,b2,…,bn），i=1，2，…，n；
Wherein E (P) is ciphertext of an access policy, and E is a completely homomorphic cryptosystem;
The hash value of the memory transaction is calculated using the following formula:
hs=H（IDs,AddressCT,z,E（P）,hc）；
where h s is the hash value of the store transaction;
the signature value of the stored transaction is calculated, and the private key B r is used for signing the hash value of the stored transaction by using the manual resource data signature, wherein the adopted formula is as follows:
sign（hs）=sign（hs,Br.SK）；
Wherein sign (h s) is a signature value of a stored transaction, and sign is an RSA signature algorithm;
The ciphertext storage of the human resource data generates a human resource data storage transaction, and the human resource data storage transaction is issued on a block chain, and the formula is as follows:
Txstorage=（IDs,AddressCT,z,E（P）,hc,sign（hs））；
Where Tx storage is the generated human resource data storage transaction.
Through executing the operation, aiming at the problems that single-point faults and risks of data tampering exist in the traditional human resource data storage mode of the supply chain enterprise, data loss and irrecoverability are easy to cause, inaccuracy and unreliability of human resource data are increased, and negative effects are caused to management of the supply chain enterprise.
In a fifth embodiment, referring to fig. 1 and fig. 4, the storage attribute ciphertext module specifically includes the following contents:
the attribute signature private key is calculated using the following formula:
Bω.SK=β+ω×r；
wherein, B ω SK is an attribute signature private key;
The signature values of the attribute data and the additional data are calculated, and the attribute data are signed by using a private key B ω SK, and the following formula is used:
sign（A，T）=sign（A，T，Br.SK）；
Wherein sign (A, T) is a signature value of the attribute data and the additional data, and A is the attribute data;
attribute authentication, a user submits an attribute authentication transaction by calling an attribute authentication function of an intelligent contract SC.AA, and the following formula is used:
SC.AA.submitRequest（A，T，sign（A，T））；
In the formula, SC.AA. Subtrequest is an attribute authentication function of the intelligent contract SC.AA;
acquiring input data, acquiring input data (ID t,Bω.SK,A,IDs), wherein ID t is an identifier of a current attribute authentication transaction;
calculating the ciphertext of the attribute, and obtaining the ciphertext of the attribute based on the encryption attribute of the completely homomorphic cryptosystem, wherein the formula is as follows:
E（A）=E（α1,α2,…,αn），i=1，2，…，n；
wherein E (A) is ciphertext of the attribute;
the hash value of the test transaction is calculated using the following formula:
ht=H（IDt,E（A）,IDs）；
where h t is the hash value of the test transaction;
Calculating a signature value of the test transaction, and signing the hash value of the test transaction by using an attribute signature private key B ω SK, wherein the following formula is used:
sign（ht）=sign（ht,Bω.SK）；
Where sign (h t) is the signature value of the test transaction;
the attribute store generates an attribute store transaction and publishes it on the blockchain using the following formula:
Txtest=（IDt,E（A）,IDs,sign（ht））；
Where Tx test is the generated attribute store transaction.
In a sixth embodiment, referring to fig. 1 and 5, the human resource data decryption module specifically includes the following contents:
homomorphic multiplication uses the following formula:
E（A）×E（P）=E（α1×b1,α2×b2,…,αn×bn）；
Wherein E (A) x E (P) is homomorphic multiplication of an attribute ciphertext and an access policy ciphertext;
The test value was calculated using the following formula:
E（z’）=E（A）×E（P）；
Wherein E (z') is a test value;
Judging whether the requirement of the access strategy is met, decrypting E (z ') by a supply chain enterprise administrator to obtain z ', and if z ' =z, enabling the attribute of the user to meet the requirement of the access strategy, and continuing the process; otherwise, ending the process;
Calculating the element in the private key, the supply chain enterprise administrator selects a random value s from Z N * and for each i e (1, 2, …, n), selects a random value { λ i}1≤i≤n from Z N *, and calculates the element in the private key using the following formula:
；
；
wherein D 0 and Is an element in the private key;
the private key is calculated using the following formula:
；
Wherein SK A is a private key;
the public key of the private key encryption is calculated by the following formula:
Bω.PK=（gp β）ω；
Wherein, B ω PK is a public key encrypted by a private key;
private key encryption, a supply chain enterprise administrator encrypts private key SK A using public key B ω PK, using the following formula:
；
Wherein E (SK A) is ciphertext encrypted by a private key;
uploading ciphertext of the private key, and releasing the ciphertext of the private key on a blockchain by a supply chain enterprise administrator;
acquiring ciphertext of the human resource data, and acquiring a cloud storage Address of the ciphertext CT of the human resource data through Address CT of Tx storage by a user and downloading to acquire the ciphertext of the corresponding human resource data;
The private key is obtained, and the user decrypts the ciphertext encrypted by the private key through the private key B ω SK to obtain the private key SK A;
Decrypting ciphertext of the human resource data, namely decrypting ciphertext CT of the human resource data by using a private key B ω SK to obtain the human resource data, wherein the formula is as follows:
；
in the formula, M1 is the decrypted plain text, i.e., human resource data.
By executing the operation, aiming at the technical problem that the access strategy and the user attribute are easy to expose, and the human resource data of the supply chain enterprise are revealed, the access strategy and the attribute data are hidden by using the encryption technology, the access strategy is hidden in the human resource data storage stage, so that the privacy of the access strategy is ensured, a testing stage is added before decryption, a testing algorithm of a fully homomorphic cryptosystem is used for judging whether the attribute of the user is matched with the hidden attribute in the secret, so that the human resource data can only be accessed and decrypted by the user meeting the requirement of the access strategy, and the data leakage is effectively prevented.
It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
The invention and its embodiments have been described above with no limitation, and the actual construction is not limited to the embodiments of the invention as shown in the drawings. In summary, if one of ordinary skill in the art is informed by this disclosure, a structural manner and an embodiment similar to the technical solution should not be creatively devised without departing from the gist of the present invention.

Claims (4)

1. The human resource management system of the supply chain enterprise based on the block chain technology is characterized in that: the system comprises an initialization module, a human resource data encryption module, a human resource data storage ciphertext module, a storage attribute ciphertext module and a human resource data decryption module;
The initialization module initializes related parameters and a selection subgroup, defines an attribute domain of a user, and calculates a master key and a public key;
the human resource data encryption module sets an inquiry prevention strategy, a randomization technology is introduced, the number of randomly selected attributes is calculated in the encryption process, and human resource data is encrypted;
the human resource data storage ciphertext module calculates a hash value of human resource data, conceals an access strategy by using a completely homomorphic encryption technology, signs a storage transaction, generates a human resource data storage transaction, and stores the human resource data on a block chain in a ciphertext mode;
The storage attribute ciphertext module calculates signature values of the attribute data and the additional data, conceals the attribute by using a full homomorphic encryption technology, and stores the attribute data on a blockchain in a ciphertext mode;
The human resource data decryption module adds a test stage before decryption, uses a test algorithm of a completely homomorphic cryptosystem to judge whether the attribute of a user is matched with the hidden attribute in the secret, and enables the user meeting the access policy requirement to access and decrypt the human resource data;
the ciphertext module for storing the human resource data specifically comprises the following contents:
the private key of the manpower resource data signature is calculated, and the formula is as follows:
Br.SK=（r,{αi}1≤i≤n）；
Wherein, B r SK is a private key of a human resource data signature, alpha i is a random value corresponding to the ith attribute data of a user, alpha i∈ZN *,ZN * is a finite field, n is the number of attributes, and r is the number of randomly selected attributes;
Acquiring input data, wherein the input data (ID s,Br.SK,CT,AddressCT, P, z) is acquired, the ID s is an identifier of a current human resource data storage transaction, the Address CT is a cloud storage Address of a ciphertext CT of the human resource data, the z is an attribute number in an access policy, and the P is the access policy;
The hash value of the ciphertext of the human resource data is calculated, and the formula is as follows:
hc=H（CT）；
Wherein, H c is the hash value of the ciphertext of the human resource data, and H is the hash function;
The ciphertext of the access strategy is calculated, the access strategy is encrypted based on a completely homomorphic cryptosystem, the ciphertext of the access strategy is obtained, and the following formula is used:
E（P）=E（b1,b2,…,bn），i=1，2，…，n；
Wherein, E (P) is ciphertext of the access policy, E is a completely homomorphic cryptosystem, b 1、b2 and b n are the 1 st, 2 nd and nth access policies of the user respectively, P= { b 1,b2,…,bn };
The hash value of the memory transaction is calculated using the following formula:
hs=H（IDs,AddressCT,z,E（P）,hc）；
where h s is the hash value of the store transaction;
the signature value of the stored transaction is calculated, and the private key B r is used for signing the hash value of the stored transaction by using the manual resource data signature, wherein the adopted formula is as follows:
sign（hs）=sign（hs,Br.SK）；
Wherein sign (h s) is a signature value of a stored transaction, and sign is an RSA signature algorithm;
The ciphertext storage of the human resource data generates a human resource data storage transaction, and the human resource data storage transaction is issued on a block chain, and the formula is as follows:
Txstorage=（IDs,AddressCT,z,E（P）,hc,sign（hs））；
Wherein Tx storage is the generated human resource data storage transaction;
The storage attribute ciphertext module specifically comprises the following contents:
the attribute signature private key is calculated using the following formula:
Bω.SK=β+ω×r；
Wherein, B ω SK is an attribute signature private key, ω and β are two random elements randomly selected from Z N *;
The signature values of the attribute data and the additional data are calculated, and the attribute data are signed by using a private key B ω SK, and the following formula is used:
sign（A，T）=sign（A，T，Br.SK）；
Wherein sign (A, T) is a signature value of the attribute data and the additional data, A is the attribute data, and T is the additional data;
attribute authentication, a user submits an attribute authentication transaction by calling an attribute authentication function of an intelligent contract SC.AA, and the following formula is used:
SC.AA.submitRequest（A，T，sign（A，T））；
In the formula, SC.AA. Subtrequest is an attribute authentication function of the intelligent contract SC.AA;
acquiring input data, acquiring input data (ID t,Bω.SK,A,IDs), wherein ID t is an identifier of a current attribute authentication transaction;
calculating the ciphertext of the attribute, and obtaining the ciphertext of the attribute based on the encryption attribute of the completely homomorphic cryptosystem, wherein the formula is as follows:
E（A）=E（α1,α2,…,αn），i=1，2，…，n；
Wherein E (A) is ciphertext of the attribute, alpha 1、α2 and alpha n are random values corresponding to the 1 st, 2 nd and n th attribute data of the user, alpha 1、α2 and alpha n∈ZN * respectively;
the hash value of the test transaction is calculated using the following formula:
ht=H（IDt,E（A）,IDs）；
where h t is the hash value of the test transaction;
Calculating a signature value of the test transaction, and signing the hash value of the test transaction by using an attribute signature private key B ω SK, wherein the following formula is used:
sign（ht）=sign（ht,Bω.SK）；
Where sign (h t) is the signature value of the test transaction;
the attribute store generates an attribute store transaction and publishes it on the blockchain using the following formula:
Txtest=（IDt,E（A）,IDs,sign（ht））；
Where Tx test is the generated attribute store transaction.
2. The blockchain technology-based supply chain enterprise human resource management system of claim 1, wherein: the human resource data encryption module specifically comprises the following contents:
setting an access policy, and using an n-bit character string b 1b2…bn to represent the access policy of a user by a supply chain enterprise administrator, wherein the following formula is used:
P={b1,b2,…,bn}；
；
wherein P is an access policy;
the number of randomly selected attributes is calculated, a random value r i∈ZN * is selected for each access right, and the following formula is used:
；
where r is the number of randomly selected attributes;
the elements in the text of the human resource data are calculated, and the formula is as follows:
C0=Br；
；
；
Wherein C 0, AndIs an element in ciphertext of human resource data, M is plaintext, i.e., human resource data of a user, T i is additional data of attribute a i, Y r is an r-th power of element Y in a public key,AndThe r i powers of the generator g p and attribute a i respectively,Is spare additional data for attribute a i;
The ciphertext of the human resource data is calculated by the following formula:
；
wherein CT is ciphertext of human resource data;
Uploading ciphertext of the human resource data, and uploading the ciphertext of the human resource data of the user to the cloud server.
3. The blockchain technology-based supply chain enterprise human resource management system of claim 2, wherein: the human resource data decryption module specifically comprises the following contents:
homomorphic multiplication uses the following formula:
E（A）×E（P）=E（α1×b1,α2×b2,…,αn×bn）；
Wherein E (A) x E (P) is homomorphic multiplication of an attribute ciphertext and an access policy ciphertext;
The test value was calculated using the following formula:
E（z’）=E（A）×E（P）；
Wherein E (z') is a test value;
Judging whether the requirement of the access strategy is met, decrypting E (z ') by a supply chain enterprise administrator to obtain z ', and if z ' =z, enabling the attribute of the user to meet the requirement of the access strategy, and continuing the process; otherwise, ending the process;
Calculating the element in the private key, the supply chain enterprise administrator selects a random value s from Z N * and for each i e (1, 2, …, n), selects a random value { λ i}1≤i≤n from Z N *, and calculates the element in the private key using the following formula:
；
；
wherein D 0 and Is an element in the private key and,、AndRespectively the lambda i power of the generator g p,Power of the th order sumPower of the order;
the private key is calculated using the following formula:
；
Wherein SK A is a private key;
the public key of the private key encryption is calculated by the following formula:
Bω.PK=（gp β）ω；
Wherein, B ω PK is a public key encrypted by a private key;
private key encryption, a supply chain enterprise administrator encrypts private key SK A using public key B ω PK, using the following formula:
；
Wherein E (SK A) is ciphertext encrypted by a private key;
uploading ciphertext of the private key, and releasing the ciphertext of the private key on a blockchain by a supply chain enterprise administrator;
acquiring ciphertext of the human resource data, and acquiring a cloud storage Address of the ciphertext CT of the human resource data through Address CT of Tx storage by a user and downloading to acquire the ciphertext of the corresponding human resource data;
The private key is obtained, and the user decrypts the ciphertext encrypted by the private key through the private key B ω SK to obtain the private key SK A;
Decrypting ciphertext of the human resource data, namely decrypting ciphertext CT of the human resource data by using a private key B ω SK to obtain the human resource data, wherein the formula is as follows:
；
in the formula, M1 is the decrypted plain text, i.e., human resource data.
4. The blockchain technology-based supply chain enterprise human resource management system of claim 2, wherein: the initialization module specifically comprises the following contents:
Acquiring parameters, presetting a safety parameter k by a supply chain enterprise administrator, taking the safety parameter k as input, and running a constructor Setup (1 k) to obtain prime numbers N, a finite field Z N *, a step p, a step r, a group G T and bilinear mapping e, wherein N is the prime number, G T is a dual group associated with G, and e is bilinear mapping between G and G T;
a subgroup is selected, two subgroups of order p and r are selected, and a generator G p is selected from G p, using the following formula:
G=Gp×Gr；
wherein G p and G r are subgroups of group G;
Defining attribute fields of users, for each attribute a i (i=1, 2, …, n), i is an index of the attribute, n is the number of attributes, selecting a random value { α i}1≤i≤n from Z N *, setting a i = The attribute domain of the user is constructed, and the attribute data of the user is represented by an n-bit character string alpha 1α2…αn, and the following formula is used:
；
U={A1,A2,…,An}；
wherein U is the attribute domain of the user;
the master key is calculated using the following formula:
MSK=（ω，β，{αi}1≤i≤n）；
Wherein MSK is the master key;
Calculating elements in the public key, selecting random elements omega and beta epsilon Z N *, and calculating the elements in the public key by the following formula:
Y=e（gp,gp）ω；
B=gp β；
Wherein Y and B are elements in the public key;
The public key is calculated using the following formula:
PK=（gp,Y,B,{Ai}1≤i≤n）；
where PK is the public key.
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