Efficient Monitoring of Dynamic Spectrum Access for Robust and Reliable Detection of Unauthorized Access

Abstract

Success of dynamic spectrum access depends on automated enforcement of spectrum access policies. To this end, we undertake a crowdsourced approach to spectrum monitoring. In this paper, we focus on robust and reliable detection of unauthorized spectrum access over prolonged intervals of time. For this purpose, we propose a framework that is primarily driven by efficient spectrum sampling and reputation management of crowdsourced spectrum monitoring agents. This is to ensure robustness and success in detecting and catching intruders consistently. Simulation results indicate that our proposed scheme performs successfully to catch intruders across all the spectrum monitoring epochs, against varying intruder profiles, sensing failure rates and trustworthiness of crowdsourced monitoring agents.