Enhancing Intrusion Detection in Wireless Networks using Radio Frequency Fingerprinting

Jeyanthi Hall

Abstract

Media access control (MAC) address spoofing can result in the unauthorized use of network resources. This paper demonstrates a novel approach, which incorporates radio frequency fingerprinting (RFF) into a wireless intrusion detection system (IDS), for detecting this attack. RFF is a technique that is used to uniquely identify a transceiver based on the transient portion of the signal it generates. Moreover, the success rate of a wireless IDS is also improved by correlating several observations in time, using a Bayesian filter. Simulation results, with an average success rate of (94-100%), support the feasibility of employing RFF and Bayesian filtering techniques to successfully address the aforementioned problem.