3results about How to "Fast authentication" patented technology

This invention discloses an identity authentication method integrating quantum-resistant signatures and the X.509 format, relating to the field of data security technology. The method includes: S1, CA generates and publishes globally public parameters; S2, EE1 and EE2 obtain Cert1 and Cert2; S3, EE1 and EE2 perform bidirectional authentication and session key negotiation, and communicate using the session key; constructing a quantum-resistant digital identity certificate to ensure the long-term security and traceability of registration information; during the registration phase, the SLH-DSA algorithm is used to sign the user-submitted registration information to ensure the long-term validity and strong anchoring of the identity certificate, while the ML-DSA algorithm is reused to sign the registration information for rapid verification scenarios; during the authentication interaction phase, the ML-KEM quantum-resistant algorithm is used to implement a dual-path quantum-resistant DKE key exchange protocol to generate a session key, and the ML-DSA algorithm, with higher signature and verification performance, is used to digitally sign and verify the authentication message, achieving identity confirmation and communication integrity protection for both parties, and improving the performance of establishing a secure session link.

The application provides a lightweight certificateless aggregation signcryption anonymous authentication method and system for Internet of Vehicles, belongs to the technical field of Internet of Vehicles, and aims at the problems of large calculation cost, high communication delay and privacy leakage in the security authentication of Internet of Vehicles, and proposes a lightweight certificateless aggregation signcryption anonymous authentication method, improves the signature and authentication mode in the existing scheme, generates a unique identifier by using the tiny difference characteristics of the physical structure of the on-board unit (OBU), combines a dynamic challenge-response authentication protocol and a pseudonym updating strategy, realizes the anonymous session authentication mechanism of "one-time one-micro", ensures the anonymity and untraceability of the user identity, effectively reduces the verification time by using the certificateless aggregation signcryption, and proves by the security analysis and efficiency comparison that the method can ensure high security, significantly reduce the authentication cost, improve the message authentication speed, and meet the efficient, safe communication demand and user privacy security in the Internet of Vehicles environment.

The invention provides a physical layer user classification authentication method based on deep learning, which combines a decision tree and a random forest algorithm to classify and identify channel characteristics under different environmental factors, and realizes preliminary authentication through classification confidence. The method comprises the following steps: collecting feature data of each user feature type of each fixed position user with labels as a data set, wherein the user feature types comprise channel distribution type features and channel features; the label is used for distinguishing whether the user is legal or the identity of each individual legal user; according to the method, large-scale and small-scale channel indexes, such as path loss, shadow effect and time delay extension, are utilized to carry out rapid primary selection on a multi-user scene of a long-term fixed position, and on this basis, an amplitude phase analysis method is adopted to complete final authentication. Simulation and actual measurement results show that the method can realize a high user identification rate in a simulation environment, and has the characteristics of high efficiency, robustness and light weight.