Title :
Physical-Layer Intrusion Detection in Wireless Networks
Author :
Tomko, A.A. ; Rieser, C.J. ; Buell, L.H.
Author_Institution :
Appl. Phys. Lab., Johns Hopkins Univ., Laurel, MD
Abstract :
This paper describes a method for detecting intrusions in wireless local area networks (WLANs) based on physical layer features extracted from the radio frequency (RF) waveform of individual network packets. The features considered include those intrinsic to the packet source (wireless user node), as well as those related to the propagation path between the source and a network access point (AP). It is shown that the statistics of a set of packet features can be used to fingerprint each packet source in the network, thereby providing a mechanism for identifying rogue node activity, such as a spoofing attack. Empirical results are presented for an IEEE 802.11b network
Keywords :
feature extraction; packet radio networks; security of data; statistics; telecommunication security; wireless LAN; IEEE 802.11b network; WLAN; features extraction; fingerprint; individual network packet; network access point; physical-layer intrusion detection; propagation path; radio frequency waveform; rogue node activity; statistics; wireless local area network; Communication system security; Fingerprint recognition; Intrusion detection; Radio frequency; Radio transmitters; Radiofrequency identification; Statistics; Transceivers; Wireless LAN; Wireless networks;
Conference_Titel :
Military Communications Conference, 2006. MILCOM 2006. IEEE
Conference_Location :
Washington, DC
Print_ISBN :
1-4244-0617-X
Electronic_ISBN :
1-4244-0618-8
DOI :
10.1109/MILCOM.2006.302476
