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

One of the most promising application areas industrial Internet Things (IIoT) is vehicular ad hoc networks (VANETs). VANETs are largely used by intelligent transportation systems to provide smart and safe road transport. To reduce network burden, software-defined (SDNs) act as a remote controller. Motivated need for greener IIoT solutions, this article proposes an energy-efficient end-to-end security solution (SDVNs). Besides, SDN's flexible management, performance, scheme plays significant role in providing green services. Thus, proposed SDVN provides lightweight security. The objective handled two levels: 1) roadside unit (RSU)-based group authentication scheme, each vehicle RSU range receives ID-key pair secure communication; 2) private collaborative intrusion detection system (p-CIDS), detects potential intrusions inside VANET architecture using learning that guarantees privacy through fusion differential homomorphic encryption schemes. simulated NS2 MATLAB, results show increased energy efficiency with lower communication storage overhead than existing frameworks. In addition, p-CIDS intruder accuracy 96.81% SDVN.