38results about How to "Solve untrustworthy" patented technology

The invention discloses a network electron evidence processing system and a processing method; the processing system comprises a main control end, an access server, a controlled end remotely connected with the main control end, a cleanness check module, a screen recording module, a file recording module, a digital signature module, an evidence storage module, a system reduction module, and a testify module; the access server, the controlled end, the cleanness check module, the screen recording module, the file recording module, the digital signature module, the system reduction module and the testify module are respectively under a third party monitoring environment. The processing method comprises the following steps: a user uses the main control end to remotely control the controlled end to visit the internet; simultaneously the screen recording module carries out screen recording; the third party uses the digital signature module to do digital signature on evidence obtaining files, and stores the files; when needing testify, the testify module can do integrity verification for the evidence with digital signature, and provides a corresponding report. The evidence obtaining, evidence storage and a testifying process are witnessed by the third party, so a user networking real process can be restored.

The invention provides a method and device for preventing information tampering. The method and the device are used for solving the problem that information acquired by a server is untrusted due to the fact that terminal position information can be tampered in the prior art. The method comprises the steps: receiving identification information sent by an application server, and applying a public key and a first signature, wherein the identification information is identification information of an equipment terminal, the application public key is generated by the equipment terminal and sent to the application server, the first signature is obtained by the equipment terminal by using an equipment private key to sign the application public key in a trusted execution environment, and the information stored in the trusted execution environment cannot be modified by an untrusted application program; searching a public key corresponding to the equipment private key according to the identification information to obtain the equipment public key which corresponds to the equipment private key stored in the equipment terminal; and sending a verification result to the application server if the first signature is verified successfully by using the device public key.

In recent years, with the application of cloud more and more widely, the problem of privacy leakage of cloud sharing data is constantly occurring at home and abroad. Privacy leakage in cloud data sharing has become the focus of attention, and relevant solutions are constantly proposed. Most of the existing schemes are composed of a single shareholder or a specific user. However, in actual data sharing scenarios, the shared data is usually provided by multiple data owners, which brings a series of new problems to protect the privacy of the data, such as malicious tampering of the shared data, collusion between malicious users, and collusion between users and cloud service providers. The invention provides a cloud data sharing method based on block chain for realizing data tampering prevention and user conspiracy. The method realizes that the data is not tampered with by malicious users when sharing by adopting the method of public bookkeeping and intelligent contract in the block chain,and realizes the confidentiality of the shared data by adopting a (p, t) threshold Paillier cryptosystem, thereby avoiding the problem that malicious users collude to steal the shared data.

The invention relates to a federated learning method and system based on a block chain and a trusted execution environment, and belongs to the technical field of artificial intelligence machine learning. A block chain and a trusted execution environment technology are combined, and in a task collection stage, a task owner broadcasts and initiates a crowdsourcing model training task in a block chain network. After the task is received, the node meeting the requirement applies to join a participant contract, and a task publisher randomly selects participants meeting the training requirement number from all applicants and issues the task. The selected participant locally trains the model, and meanwhile, in the TEE environment of the selected participant, the correctness proof of model training is generated by comparing whether the Hash values updated by the model are consistent or not. After all the models are trained and updated, the participants send updated models and certificates to an aggregation contract for model aggregation and verification, and corresponding rewards are issued to the participating nodes after verification is passed. High-confidence verification is realized, and the problem that training participants are not credible is solved.

The invention discloses a decentralized data transaction method based on blockchain. The method is applied to a big data transaction environment composed of a secret key generation center, a blockchain and an intelligent contract; data summary information collection of a data transaction market is achieved through the blockchain, evaluation information of data use conditions is recorded, and transaction records in data transaction are recorded; data requirements can be issued through the intelligent contract, data required by a data demander is matched and screened, and distribution of data rewards is automatically completed. The problem that a data transaction center is not credible can be solved, ownership and informed rights of a data provider to personal data in transaction are guaranteed, intelligence and high efficiency of the data transaction process are improved, and therefore safe and reliable big data transaction service can be provided for two transaction parties.

The invention provides a shared economic accounting method based on a block chain. According to the method, a plurality of participation subjects of the shared economy are respectively provided with anode on a block chain; a plurality of nodes form an alliance chain; A block chain technology is introduced into traditional sharing economy; trust-free of the block chain in a sharing environment isutilized; The method has the advantages that the method is simple and easy to operate, the characteristics of medium removal, non-tampering and traceability are achieved, a trusted, ownership-ascertainable and traceable shared economic system is constructed, high trust among a demander, a supplier, a platform party and a site provider is achieved, then traceable and trusted value evaluation is provided for purchasing and financial means, and the operation efficiency of the shared economy is improved.

The invention discloses a distributed federal learning method and device based on a block chain and terminal equipment. The method comprises the following steps: determining a pre-created block chain; the participant node determines a global model parameter through the intelligent contract, updates a model parameter of the local network model based on the global model parameter, and trains the updated local network model based on the local training data to obtain a local model parameter; the participant node sends the local model parameters to the intelligent contract, and aggregates all the received local model parameters through the intelligent contract to update the global model parameters; and determining the reward resource corresponding to each participant node in the training process through the intelligent contract. According to the application, the function of the central server in the traditional federated learning is realized by using the intelligent contract on the block chain, so that the central server in the federated learning is replaced by using the intelligent contract capable of performing trusted computing, and the problem that the central server in the federated learning is not trusted can be solved.

The invention provides an authentication method for a three-dimensional model file based on secret sharing in a cloud environment, which comprises the following steps of constructing a secret polynomial by adopting a Lagrange interpolation polynomial, generating the secret fragments from a source file, and transmitting and storing the secret fragments in a plurality of secret participants in a distributed manner; taking the source file and the secret fragments as the original structure carriers, respectively generating the digital abstracts from the secret fragments of the source file by utilizing an SM3 hash algorithm, and uploading the digital abstracts generated by the secret fragments to a cloud in a distributed manner; and recovering the digital digest of the three-dimensional model file based on a (k, n) threshold secret sharing method of Shamir, and performing consistency verification on the digital digest of the three-dimensional model file before encryption and after recovery.The invisibility, robustness and analysis resistance of the method are improved, and the fraudulent behaviors during the secret sharing process are effectively prevented. The method has the good performance at the aspect of protecting the integrity of the file, and particularly has the obvious advantages at the aspect of efficiency.

The invention discloses a user-level code and data security and credibility protection method and device based on TrustZone. A key code is stored in a protected memory area through encryption, so that a user can load and access the key code and data belonging to the user, and other programs including privileged software cannot access the key code of the user. Meanwhile, mutual calling of the non-safe-state user and the safe-state user code is achieved through TrustZone, the non-safe-state user calls the safe-state user code to achieve safe operation such as safe storage and encryption, the safe-state user calls the non-safe-state user code to complete non-safe operation such as interruption and system calling, all the operations are distinguished, and the problems that privileged software such as an operating system is untrusted, and non-security codes threaten the security state are solved.

The invention discloses a block chain-based road-vehicle node trusted network construction and consensus method. According to the scheme of the method, the autonomous operation capacity of the vehicle in the road-vehicle fusion environment is improved through the technical means of building a road-vehicle information alliance chain, building a vehicle node trust model, building a vehicle node distributed trust library, consensus of road-vehicle node information and the like. The method can be widely applied to the fields of vehicle-road cooperation and the like.

The invention discloses a path decoding method and device, a computer device and a storage medium. The method comprises the following steps of: determining N state matrices corresponding to the shorttext to be decoded according to the short text to be decoded, wherein N is a natural number greater than or equal to 1; obtaining an optimal state sequence corresponding to each state matrix of the Nstate matrices by using a fractional addition method; determining M optimal paths corresponding to the short text to be decoded among N optimal state sequences, wherein M is a natural number greater than or equal to 1 and less than or equal to N. The method can improve the accuracy of obtaining the optimal path through HMM model, and solve the problem that the path score of HMM model is too smallto be trusted when it is applied to text path decoding.