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

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          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.

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          Most cited references 33

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          A Survey of Information-Centric Networking Research

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            Dependable Demand Response Management in the Smart Grid: A Stackelberg Game Approach

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              Home M2M networks: Architectures, standards, and QoS improvement

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                Author and article information

                Contributors
                Journal
                IET-ITS
                IET Intelligent Transport Systems
                IET Intell. Transp. Syst.
                The Institution of Engineering and Technology
                1751-956X
                1751-9578
                2 January 2019
                25 January 2019
                June 2019
                : 13
                : 6
                : 975-982
                Affiliations
                [1 ] School of Cyber Security, Shanghai Key Laboratory of Integrated Administration Technologies for Information Security , Shanghai 200240, People's Republic of China
                [2 ] Information Security Research Center, Harbin Engineering University , Harbin 150001, People's Republic of China
                Article
                IET-ITS.2018.5465 ITS.2018.5465.R1
                10.1049/iet-its.2018.5465

                This is an open access article published by the IET under the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/3.0/)

                Page count
                Pages: 0
                Product
                Categories
                Special Section: Recent Advance on Vehicle to Everything (V2X): Emerging Applications and Technologies

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