49 results about "Outsourcing computation" patented technology

The invention relates to an outsourcing encrypted data-orientated verifiable intersection operation method and system and belongs to the verifiable outsourcing computation field. The method is carried out among a third-party trusted entity, at least two client entities and an outsourcing server side; the client entities are holders of data sets and requesters of data set intersection operation; the third-party entity is mainly responsible for the initialization and distribution of common parameters; the two client entities are mainly responsible for generating keys, encrypting data sets, calculating authentication information, verifying results and proofs returned by the outsourcing server side and decrypting an ciphertext data set returned by the outsourcing server side; the outsourcing server side is mainly responsible for performing data set intersection operation; and a plaintext data set is not required to be obtained through decryption when the outsourcing server side performs intersection operation, and the outsourcing server performs operation on a ciphertext, and therefore, the privacy of user data can be ensured. The method and system have the advantages of low frequency of interaction among the entities, low communication cost and efficient correctness verification of operation results.

A technique includes the determination of a set of arguments for an outsourced computation and preparing a group of disguised arguments corresponding to the set of arguments with a first computer. The first computer outputs the disguised arguments to a second computer. The second computer performs the outsourced computation with the disguised arguments to determine a corresponding disguised result. The second computer returns the disguised result to the first computer. The first computer recovers an actual answer from the disguised result. Before outsourcing, the first computer can classify the outsourced computation into one of a number of computation types and select one or more of a number of disguising operations based this classification.

The invention relates to cryptology relative technical field, in particular to outsourcing calculation method, device and server of a public key system. The outsourcing calculation method comprises the following steps: constructing random parameter w; choosing random number k; conducting linear operation on w and k to obtain k'; sending request of conducting a first operation on k' and G to a server, wherein G is a generating element of the public key system; obtaining calculation result Q' of the first operation of k' and G by the server; conducting the first operation on w and G to obtain the calculation result Q w of the first operation of w and G; conducting a second operation on Q' and Q w to obtain the calculation Q of the second operation of Q' and Q w. On the condition of meeting digital signature safety, the goal of safely delivering complicated calculation of the public key system in an outsourcing calculation manner to cloud computing service providers can be achieved.

The invention discloses a homomorphic encryption matrix determinant security outsourcing method based on cloud computing, which is characterized in that the whole matrix is encoded and encrypted intoa ciphertext by applying matrix encoding technology, and efficient matrix determinant security outsourcing computation is realized in combination with a division-free determinant computation method. The method comprises a data encryption/decryption method and a homomorphic calculation method. A client side executes the encryption method, codes, encrypts and uploads the matrix to a cloud server. Acloud server side executes a homomorphic calculation method, carries out ciphertext operation under the condition of not decrypting, and returns a calculation result to the client side in a ciphertextform. Finally, the client side executes the decryption module to obtain the determinant value of the matrix. Most calculation is carried out at the cloud server side, so that calculation workload ofthe client side is greatly reduced.

The embodiment of the invention discloses a privacy protection query method and device supporting outsourcing computing and related equipment, and the method comprises the steps: receiving P keywords, classifying the P keywords to obtain Q types of keywords, and enabling each type of keywords to correspond to a bucket ID; sorting the Q-class keywords according to the bucket ID; public parameters of each type of keywords in the Q types of keywords after sorting are determined, Q groups of public parameters are obtained, and each group of public parameters corresponds to one bucket; the Q groups of public parameters are sent to the server side, corresponding buckets are called for query through the server side according to the Q groups of public parameters and the corresponding sequence, a first query result is obtained, and each bucket is used for storing a mapping relation between a preset keyword and local data; and receiving a first query result fed back by the server, performing decryption operation according to the first query result to obtain a second query result, and feeding back the second query result to the client. By adopting the embodiment of the invention, the hidden trace query efficiency can be improved.

The invention relates to a hierarchical security multi-party computing method and device based on the Chinese remainder theorem, and the method comprises the steps: enabling a computing task to be divided into an outer package subtask and an autonomous subtask through a computing father node, and distributing a writing subkey and a reading subkey for each outer package subtask; sending each outer packet sub-task and the corresponding write-in sub-key to each computing sub-node in a safe mode; enabling the computing father node and the computing child nodes to obtain data of respective child tasks through computing, and storing outsourcing computing data in a public result ciphertext through writing of child keys and sharing and transmitting the outsourcing computing data in the public result ciphertext; enabling the computing father node to obtain outsourcing computing data calculated by each computing child node from the public result ciphertext by reading the child key, and calculating a final result of the calculation task. According to the method, the computing sub-nodes can assist each other to complete the computing task together, but the computing data of other computing sub-nodes and the final computing data of the computing task cannot be obtained, so that secure multi-party computing is realized.

The invention discloses a security outsourcing method based on SHE, and belongs to the technical field of network security, and the method comprises the steps: enabling a trusted third party to carryout the on-demand packaging of generated addition homomorphic and multiplication homomorphic public and private keys through employing public information, and transmitting the public and private keysto a user, a proxy server and a public cloud server; preprocessing the coefficient and the index of the outsourcing polynomial by a client user, encrypting the processed data, and uploading the encrypted data to a proxy server; then establishing connection between the proxy server and the public cloud server to execute secret index calculation; enabling the public cloud server to calculate the processed outsourcing polynomial by using the encryption index and coefficient generated by calculation, and performing ciphertext conversion; finally, enabling the proxy server to receive the ciphertextconversion result calculated by the public cloud server for preliminary decryption, and sending the result to the user for final decryption after the decryption is passed. According to the method, the user can be helped to obtain the desired outsourcing calculation result more safely and efficiently.

The invention belongs to the technical field of attribute encryption, and discloses an attribute-based verifiable outsourcing and revocable Internet of Things security communication method. The methodcomprises the following steps: a system is initialized; an authorization center allocates an attribute set to a data user and generates a key required by decryption for the data user; an Internet ofThings node symmetrically encrypts the data; the Internet of Things node encrypts the symmetric key by using attribute-based encryption; the data user sends a data access request to the Internet of Things platform and decrypts the data; and the Internet of Things platform cancels a specific user in the system. The method has the advantages of low equipment calculation overhead, verifiable outsourcing calculation, resistance to collusion attacks of malicious auxiliary nodes, support of dynamic permission management of the system and the like, and can be used for solving the problems of batch access control, huge number of keys, limited equipment resources and the like in the application of the Internet of Things. The lightweight security communication method is realized, and a revocable function of the key is realized.

The invention discloses a cloud outsourcing computing security method based on an SGX technology, belongs to the field of cloud computing security, and solves the problems of opaque and unsafe operation environment of a cloud environment. According to the method, the credibility of the cloud computing node is ensured by utilizing the trusted execution environment Enclave provided by the Intel SGX, the cloud environment is configured and remotely authenticated through a unified security standard formulated by a third-party trusted mechanism in the registration stage, and the security and reliability of the software and hardware environment of the cloud are ensured. A public and private key pair is formed by using a cryptology library of Intel SGX, a public key generates a cluster certificate, and a private key is stored in a cloud end through a sealing mechanism, so that only an authenticated Enclave with the same configuration can obtain the certificate private key through unblocking. In a working stage, a user encrypts own private data through a public key in a cluster certificate and uploads the private data to a cloud environment, a cloud node starts Enclave to carry out remote authentication on a third-party trusted institution, a private key is obtained through a sealing mechanism, user data is decrypted and read, and calculation, encryption and output are carried out.

The invention discloses a multivariate identity authentication method and system for power grid data outsourcing calculation, and the method comprises the steps: collecting various biological information of a user at the same time through a biological information collection device, transmitting the biological information to an identity authentication server, and carrying out the identity authentication of the user through the identity authentication server; enabling a calculation entrusting party and a calculation party of the power grid data to generate a session key in a mode of continuously exchanging intermediate values through a PAKE protocol, and encrypting and decrypting transmission data by using the session key to complete identity authentication between the calculation entrusting party and the calculation party; performing authentication verification on the power grid data needing to be subjected to outsourcing calculation, and performing authentication verification on a calculation result by a calculation entrusting party when a calculation party returns the calculation result; and enabling the encryption machine to write the IP address of the privacy computing server into the IP white list, and completing authentication of the privacy computing server. The method is compatible with various authentication requirements of personnel, equipment, systems, data and the like, and ensures the safety of power consumption data outsourcing calculation.

The invention provides a lightweight privacy protection outsourcing electroencephalogram signal feature extraction method. According to the method, an edge server is allowed to perform feature extraction on electroencephalogram signal data uploaded by a user on the premise that plaintext electroencephalogram signal data cannot be acquired; meanwhile, in order to realize privacy protection of the electroencephalogram signals, a series of safe outsourcing computing protocols are designed, so that feature extraction of the encrypted electroencephalogram signals is realized; in addition, in order to improve the signal-to-noise ratio of the electroencephalogram signals, spatial filtering is conducted on the electroencephalogram signals through TRCA; finally, in order to reduce response delay between the user and the server, an edge computing technology is introduced. It is ensured that privacy information related to original electroencephalogram data is not leaked. According to the technical scheme, the feature extraction of the outsourcing electroencephalogram signal is realized while the privacy security of related information in the electroencephalogram signal is ensured, and the local calculation and communication cost of a user is reduced.

The invention discloses an outsourcing calculation payment method and device based on bitcoins. The method comprises the steps that an outsourcing provider and a miner reach a protocol, the outsourcing provider pays security money to the miner in advance, takes the security money as compensation that the miner honest completes a task but does not obtain rewards, encrypts the protocol through an encryption algorithm, and sends the protocol to a block chain of a bitcoin network through a wireless communication module; the wireless communication module is any one or a combination of several of a5G communication module, a 4G communication module, a Bluetooth module, a WiFi module, a GSM module, a CDMA module, a CDMA2000 module, a WCDMA module, a TD-SCDMA module, a Zigbee module and a LoRa module. The bitcoin-based outsourcing calculation payment method and device have the beneficial effects that multiple wireless data transmission modes are provided, and the security of data transmissionis relatively high.

The invention relates to the technical field of data encryption transmission and classification, in particular to a distributed classification method and system for ciphertext data in a cloud environment: D The data itself is encrypted to get [ D ], and upload it to the cloud server; the user sends a data classification request to the data owner, and after the data owner authenticates the user's identity information, it sends the data classification authorization permission to the user; after the user receives the authorization, it treats the classified data d The encryption process is [ d ],followed by[ d ] sent to the cloud server; the cloud server cooperates with the outsourced computing server to encrypt the data to be classified[ d ] and data uploaded by the data owner[ D ] to perform distributed classification calculation to obtain encrypted data to be classified [ d ] of the classification result; the cloud server will encrypt the data to be classified [ d ] The classification result is sent to the user, and the user decrypts the result. The invention can classify data on the basis of data encryption, thereby improving security.

The invention discloses a homomorphic encryption method based on a random weighted unitary matrix in outsourcing computation. The method is same as the basic unitary matrix, and has the fully homomorphic encryption characteristic and can be applied to the non-integer field computation, and has the honesty check characteristic of the full number field and better security. Compared with the classical cryptography scheme which can be only applied to the integer field, the method can be applied to any number field with operable matrix, the number field comprises real number and plural; compared with the existing same-type encryption method, the scheme not only has the fully-homomorphic feature, and can resist the statistical attacks (such as feature value attack, the matrix trace attack and like) on the invariance of the unitary matrix while not importing ill-condition number for the computation after the encryption by adopting the weighted unitary matrix, thereby providing real check characteristic. The method is suitable for any matrix encryption, and especially suitable for the application scene with independent computation and independent encryption due to good homogeneity, such asoutsourcing computation.

The invention discloses a security outsourcing computing architecture suitable for power grid big data, which comprises a power grid data center and a computing center, and is characterized in that the power grid data center is used for providing encrypted power grid data to be computed and initiating a computing request to the computing center; and the computing center is used for providing computing service according to the computing request sent by the power grid center and the encrypted power grid data provided by the power grid center, and returning a computing result to the power grid data center. According to the method, the security and secrecy problem of the power big data can be solved, the full life cycle of the data is protected, and the security of the data on the cloud is ensured, so that the data can be securely accessed to the cloud or outsourced to a computing service party for computing, the operation cost of an enterprise is reduced, and the social productivity is improved. Meanwhile, the power big data can be circulated, the power grid big data can be used for data analysis in a ciphertext state, and economic development is promoted.