Litcius/Paper detail

Enhanced Intrusion Detection System for an EH IoT Architecture Using a Cooperative UAV Relay and Friendly UAV Jammer

Van Nhan Vo, Hung Tran, Chakchai So–In

2021IEEE/CAA Journal of Automatica Sinica20 citationsDOI

Abstract

In this paper, the detection capabilities and system performance of an energy harvesting (EH) Internet of Things (IoT) architecture in the presence of an unmanned aerial vehicle (UAV) eavesdropper (UE) are investigated. The communication protocol is divided into two phases. In the first phase, a UAV relay (UR) cooperates with a friendly UAV jammer (UJ) to detect the UE, and the UR and UJ harvest energy from a power beacon (PB). In the second phase, a ground base station (GBS) sends a confidential signal to the UR using non-orthogonal multiple access (NOMA); the UR then uses its harvested energy to forward this confidential signal to IoT destinations (IDs) using the decode-and-forward (DF) technique. Simultaneously, the UJ uses its harvested energy to emit an artificial signal to combat the detected UE. A closed-form expression for the probability of detecting the UE (the detection probability, DP) is derived to analyze the detection performance. Furthermore, the intercept probability (IP) and throughput of the considered IoT architecture are determined. Accordingly, we identify the optimal altitudes for the UR and UJ to enhance the system and secrecy performance. Monte Carlo simulations are employed to verify our approach.

Topics & Concepts

RelayComputer scienceJammingEnergy (signal processing)SIGNAL (programming language)Real-time computingBase stationEnergy harvestingIntrusion detection systemComputer networkPower (physics)Computer securityPhysicsThermodynamicsProgramming languageQuantum mechanicsUAV Applications and OptimizationWireless Communication Security TechniquesEnergy Harvesting in Wireless Networks