Energy-Efficient End-to-End Security for Software Defined Vehicular Networks

Raja, Gunasekaran, Anbalagan, Sudha, Vijayaraghavan, Geetha, Dhanasekaran, Priyanka, Al-Otaibi, Yasser D and Bashir, Ali Kashif ORCID: https://orcid.org/0000-0001-7595-2522 (2021) Energy-Efficient End-to-End Security for Software Defined Vehicular Networks. IEEE Transactions on Industrial Informatics, 17 (8). pp. 5730-5737. ISSN 1551-3203

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Abstract

One of the most promising application areas of the Industrial Internet of Things (IIoT) is Vehicular Ad hoc NETworks (VANETs). VANETs are largely used by Intelligent Transportation Systems (ITS) to provide smart and safe road transport. To reduce the network burden, Software Defined Networks (SDNs) acts as a remote controller. Motivated by the need for greener IIoT solutions, this paper proposes an energy-efficient end-to-end security solution for Software Defined Vehicular Networks (SDVN). Besides SDN’s flexible network management, network performance, and energy-efficient end-toend security scheme plays a significant role in providing green IIoT services. Thus, the proposed SDVN provides lightweight end-to-end security. The end-to-end security objective is handled in two levels: i) In RSU-based Group Authentication (RGA) scheme, each vehicle in the RSU range receives a group id-key pair for secure communication and ii) In private-Collaborative Intrusion Detection System (p-CIDS), SDVN detects the potential intrusions inside the VANET architecture using collaborative learning that guarantees privacy through a fusion of differential privacy and homomorphic encryption schemes. The SDVN is simulated in NS2 & MATLAB, and results show increased energy efficiency with lower communication and storage overhead than existing frameworks. In addition, the p-CIDS detects the intruder with an accuracy of 96.81% in the SDVN