ISRF: interest semantic reasoning based fog firewall for information-centric Internet of Vehicles

Abstract

Nowadays, Internet of Vehicles (IoV) has attracted lots of attention as an important component of intelligent transportation. Meanwhile, information-centric network is a meaningful next-generation network with content-oriented attributes, which has been introduced into IoV for more flexible services. In information-centric IoV, there are abundant semantic features because of the content big data in the network layer. As very few works of information-centric IoV consider semantic models, current security approaches in information-centric IoV cannot defence against efficiently novel threats with penetrated malicious content and semantic obfuscation, especially at the network edge. Thus an efficient firewall is a must for information-centric IoV. However, existing firewalls based on traditional computing resources cannot detect content threats implicated in semantics at the edge of networks. In this study, the authors propose an interest semantic reasoning based fog firewall for information-centric IoV. Firstly, a fog firewall is proposed to construct an edge isolation for information-centric IoV. Moreover, interest semantic reasoning with context weight and knowledge graph is proposed to mine implicit relations and illegal knowledge in names and contents. Based on knowledge constructed from reasoning, it aims to perceive threats from interest packet in information-centric IoV. Simulations verify its feasibility and efficiency of the proposed scheme.