LAUSR

Abstract The latest advances in the Internet of Vehicle (IoV) networks, and Software Defined Radio (SDR) enabled spectrum sharing between anonymous users. Such enablement raised many concerns in regards to the system’s security and privacy. Therefore, there is a desperate need for transformative solutions to ensure wireless communication security against eavesdropping attacks. This paper presents a novel Moving-target Defense (MtD) to enhance the channel secrecy capacity in a Decode-and- Forward (DF) dual-phase large network containing K relays and source nodes with multi-antennas operating on different frequencies. Our MtD approach enables multidimensional spatiotemporal diversification for the user’s traffic in cooperative wireless transmission, to obfuscate signal transmission-patterns and data, across the entire spectrum available. In time, we obfuscate the transmitted data by employing real-time shuffling between real and fake data. In space, we enforce real-time hopping between multiple frequencies to evade signal tracing. We examine the ergodic channel secrecy capacity considering two behavioral patterns; cooperative and uncooperative untrustworthy-relays. Simulation results showed that, for a powerful malicious user with multiple access points, and no pre-knowledge of the diversification patterns used by the system, it is very hard to eavesdrop a meaningful portion of the signal or the data stream.