文献类型：期刊文献

英文题名：A group authentication and privacy-preserving level for vehicular networks based on fuzzy system

作者：Xu, Cheng[1,3];Liu, Hongzhe[1,3];Pan, Zhenhua[2];Li, Wenfa[1,3];Ye, Zhao[1,3]

第一作者：Xu, Cheng

通讯作者：Liu, HZ[1];Liu, HZ[2]

机构：[1]Beijing Union Univ, Beijing Key Lab Informat Serv Engn, Beijing, Peoples R China;[2]Beijing Inst Technol, Sch Mech Engn, Beijing, Peoples R China;[3]Beijing Union Univ, Coll Robot, Beijing, Peoples R China

第一机构：北京联合大学北京市信息服务工程重点实验室

通讯机构：[1]corresponding author), Beijing Union Univ, Beijing Key Lab Informat Serv Engn, Beijing, Peoples R China;[2]corresponding author), Beijing Union Univ, Coll Robot, Beijing, Peoples R China.|[1141739]北京联合大学机器人学院;[11417]北京联合大学;[11417103]北京联合大学北京市信息服务工程重点实验室;

年份：2020

卷号：39

期号：2

起止页码：1547-1562

外文期刊名：JOURNAL OF INTELLIGENT & FUZZY SYSTEMS

收录：;EI(收录号：20203809212310);Scopus(收录号：2-s2.0-85091121602);WOS:【SCI-EXPANDED(收录号:WOS:000568506700014)】；

基金：This work was supported, the National Natural Science Foundation of China (Grant No. 61871039, 61802019, 61906017, 61932012,), the Supporting Plan for Cultivating High Level Teachers in Colleges and Universities in Beijing (Grant No. IDHT20170511), the Premium Funding Project for Academic Human Resources Development in Beijing Union University (No. BPHR2020EZ01, BPHR2019AZ01), the Beijing Municipal Commission of Education Project (No. KM201911417001), Beijing Union University project (ZK80202001, 202011417004, 202011417005, 202011417SJ025, KYDE40201702).

语种：英文

外文关键词：Group authentication; key agreement; LTE-A; vehicular network; fuzzy system

摘要：Vehicular ad hoc networks play an important role in current intelligent transportation networks, which have attracted much attention from academia and industry. Vehicular networks can be implemented by Long-Term Evolution Advanced (LTE-A) networks, which have been formally defined in a series of standards by third-generation partnership projects (3GPP). Abundant challenges exist in the authentication processes in LTE-A-based vehicular networks. This paper aimed to improve the security functionality of these vehicular networks by proposing a secure and efficient group authentication and privacy-preserving scheme for vehicular networks based on fuzzy system: the group authentication and privacy-preserving level (GAPL). Compared with existing schemes, the proposed scheme can greatly reduce the number of control message transmissions from mass vehicular equipment (VEs) to the network and substantially avoid overhead in LTE-A-based vehicular networks. Privacy-preserving levels are established to protect VE privacy in authentication. Furthermore, the scheme contains security functions, including privacy preservation, non-frameability and non-repudiation verification.