Jeyanthi Hall, Carleton University
TITLE: Enhancing Intrusion Detection in Wireless Networks Using Radio 
Frequency Fingerprinting

ABSTRACT:
Media access control (MAC) address spoofing can result in the 
unauthorized use of network resources. This presentation 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.