Disclosed herein are method and systems for transmitting a plurality of ciphertexts to a plurality of users. The systems and methods described herein provide for performing an encryption update comprising a plurality of encryption keys and a multi-ciphertext to a plurality of recipient nodes. Methods and systems for organizing a database are also disclosed herein.

Systems and applications are described that use group signature technology to allow for anonymous and/or semi-anonymous feedback while allowing for the application of rules and parameters. The use of group signature technology may serve to potentially mitigate or prevent malicious identification of individuals or entities providing a communication such as feedback. Feedback may range from constructive feedback all the way to the ‘whistleblower’ variety. It may be desirable to identify the individuals as belonging to a particular group or having a particular status or position while maintaining the anonymity of the individuals within the particular group.

A first connected message broadcast from a first vehicle and a second connected message broadcast from a second vehicle is received, each of the first and second connected messages including proof-of-work computed from connected vehicle data regarding a third vehicle. The first and second connected messages are authenticated, responsive to a comparison of the proof-of-work for the third vehicle included in the first connected message and the proof-of-work for the third vehicle included in the second connected message. The connected vehicle data in the first connected message broadcast or second connected message broadcast is utilized for autonomous vehicle operations or driver-assistance vehicle operations, responsive to the proof-of-work being a match.

A system allows the identification and protection of sensitive data in a multiple ways, which can be combined for different workflows, data situations or use cases. The system scans datasets to identify sensitive data or identifying datasets, and to enable the anonymisation of sensitive or identifying datasets by processing that data to produce a safe copy. Furthermore, the system prevents access to a raw dataset. The system enables privacy preserving aggregate queries and computations. The system uses differentially private algorithms to reduce or prevent the risk of identification or disclosure of sensitive information. The system scales to big data and is implemented in a way that supports parallel execution on a distributed compute cluster.

A computer-implemented method for anonymizing online transaction details may include performing a process to generate an identifier (ID) and reference address for a user, and receiving a request for transaction processing from an e-commerce server. The request may include first data including: information associated with a purchase of a product to be delivered to the user; the identifier; and the reference address. The method may further include: in response to the request, determining whether the ID and reference address are included in the request, and if so, obtaining the accurate address and shipping rate rules; applying, based on the first data and the accurate address, the shipping rate rules to determine accurate shipping rate cost information associated with delivering the product to the accurate address; performing an anonymizing process on the accurate information to obtain anonymous shipping rate information, and transmitting the anonymous shipping rate information to the e-commerce server.

A data market system located at the Internet includes a storage circuit, an input surface circuit, and a processor. The input surface circuit is used for receiving a query and an encrypted data packet. The processor is used for controlling the input surface circuit to receive the encrypted data packet and to store the encrypted data packet in the storage circuit. The processor processes the encrypted data packet according to the query. The encrypted data packet corresponds to at least one of anonymization application programming interface, blockchain, differential privacy, and homomorphic encryption provided by the data market system.

This disclosure provides an anonymization method and apparatus, a device, and a storage medium, and pertains to the field of communications network technologies. The method includes: receiving a data obtaining request of a first terminal, and obtaining requested target data based on the data obtaining request; determining behavior data generated when the target data is obtained; determining, based on the behavior data, a first permutation character sequence corresponding to the target data; and anonymizing, based on the first permutation character sequence, a to-be-anonymized character string in the target data, and outputting the anonymized target data. In this disclosure, because the behavior data is different each time and is not easy to crack, anonymization is implemented without relying on plaintext information, thereby improving anonymization security and meeting anonymization requirements specified by laws.

A decentralized and trust-minimizing computer architecture for computing rewards for users of an advertising system includes cryptographic black box accumulators (BBA), which is a cryptographic counter that only the issuer can update. An attention application requests initialization of a BBA from a guardian and subsequently requests updates to the BBA to track interactions between a user of the attention application and ads on the attention application. The guardian signs updates to the BBA to reach agreement on the state of ad interactions. The attention application may randomize the BBA and submit requests via an anonymous channel such that no participant can link two encounters with the BBA to each other or link the BBA to a specific attention application, thus improving user privacy. Reward redemption requests can be made based on a known policy and committed to a public blockchain for verification by observers that the protocol is operating correctly.

A system for generating a virtual private key using personal credentials for establishing a trust relationship between two or more entities, wherein the credentials are stored on a remote secure repository and using information and data, comprising: personal knowledge and a suite of algorithms and methodologies integrated, without using third party information, in such a manner that the private key can be securely generated without exposing the credentials entity.

A system for performing a service by using biometric information is disclosed. A system according to the present disclosure comprises an electronic device, a first server and a second server, and a control method of the system comprises the steps of: allowing the electronic device to acquire first biometric information; allowing the electronic device to acquire first encrypted data, in which the first biometric information is encrypted, by using the acquired first biometric information and a first encryption key, and to transmit same to the first server, allowing the first server to acquire second encrypted data, in which the first encrypted data is encrypted, by using the first encrypted data received from the electronic device and a second encrypted key, and first user identification information corresponding to the first biometric information, and to transmit same to the second server; allowing the second server to match the second encrypted data and the first user identification information corresponding to the biometric information, which are received from the first server, and to store same; allowing the second server to acquire authentication information on the basis of the matched second encrypted data and first user identification information, and to transmit same to the first server, and allowing the first server to register the authentication information on the biometric information.