Research On Cross Domain/Intra Domain Identity Security For Internet Of Vehicles

The Internet of Vehicles is an important application scenario in intelligent transportation systems,which is a new type of network that enables information exchange and intelligent travel between vehicles.It has become one of the cutting-edge technologies in intelligent transportation systems.In order to ensure the normal operation of the Internet of Vehicles,vehicle identity security is crucial.However,the current solutions for ensuring vehicle identity security still face multiple challenges.On the one hand,when cross domain authentication of vehicles,due to decentralized data management,they are prone to identity forgery attacks and authentication efficiency is low;On the other hand,in trust management within the vehicle domain,there is a conflict between vehicle trust and identity privacy security,which can easily lead to vehicle identity leakage.Therefore,in order to solve the above problems,this thesis studies the specific identity security issues of cross domain and intra domain communication in the Internet of Vehicles.The specific research content is as follows:(1)Aiming at the potential identity forgery attacks and authentication efficiency issues in cross domain identity authentication for the Internet of Vehicles,a cross-domain vehicle identity authentication algorithm based on master-slave multi-chain(CAMS)was proposed.A master slave multi chain authentication model was designed in CAMS,which layered cross domain authentication and designed inter layer interaction methods.The CAMS introduces pseudonym generation parameters and verification parameters in the authentication process.Before the message is verified,the vehicle pseudonym and its identity are further verified to ensure the anonymity of the vehicle authentication identity while resisting identity forgery attacks.In addition,an authentication consensus algorithm is designed in the CAMS,which takes authentication efficiency as the objective function to solve the optimal set of chain nodes participating in authentication consensus,achieve dynamic adjustment of chain nodes,and improve the efficiency of authentication consensus.The mathematical theory proves that the algorithm can resist identity forgery attacks,and the simulation verifies that CAMS has good performance in terms of computational overhead and authentication efficiency.(2)Aiming at the conflict between vehicle trust and identity privacy in a vehicular network domain,a domain based vehicle identity trust management algorithm based on differential privacy(DITDP)was proposed.The DITDP proposes an identity trust evaluation model based on D-S evidence,and designs a multivariate mathematical model to quantify direct trust for vehicles,synthesize recommended trust,and calculate aggregated trust.The dynamic trust evaluation and identity privacy protection processes are designed in the DITDP algorithm.Dynamic trust evaluation corrects conflicts between vehicle trust components and dynamically updates vehicle trust value and validity period in the time domain;Identity privacy protection achieves trust indistinguishable through differential privacy,providing privacy protection for vehicle identities while ensuring the availability of vehicle trust value.Simulation results show that the DITDP performs well in identity protection capabilities,trust availability,and other aspects.