An Attribute-Based Cross-Domain Trustworthy Model for Internet of Vehicles

Abstract

Internet of vehicles (IoV) is an open network and it changes in constant, where there are large number of entities. Effective way to keep security of data in IoV is to establish a trustworthy mechanism. In this paper, a multi-attributes-based cross-domain trustworthy model is proposed. Moreover, this model combines heuristic algorithm and takes the previous trust evaluation as an important reference content. Thus, accuracy of evaluation of trust relationship is improved and sensitivity of this algorithm on behaviours of nodes is enhanced. Furthermore, a construction algorithm of virtual organisation is proposed. It has good resistance to false transactions and defamation attacks, and can effectively curb behaviours of bad nodes. In addition, in environment of similar entity performance, this algorithm can effectively resist false transactions or defamation attacks of poorer entities. So it has better accuracy and security.