TY - GEN
T1 - Anomaly-based protection approach against wireless network attacks
AU - Fayssal, Samer
AU - Hariri, Salim
PY - 2007
Y1 - 2007
N2 - The increasing deployment of Wireless Networks has experienced also an exponential increase in wireless faults vulnerabilities and attacks. In this paper, we present a wireless self-protection system (WSPS) that has the following significant features: online monitor of the behavior of wireless network, generate relevant network features, track wireless network state machine violations, generate wireless flow keys (WFK), and use the dynamically updated anomaly and misuse rules to detect complex known and unknown wireless attacks. WSPS quantifies the attack impact using the abnormality distance from the baseline normal models. We validate the WSPS approach by experimenting with different wireless attacks, and show that WSPS can detect accurately wireless network attacks and proactively protect against these attacks.
AB - The increasing deployment of Wireless Networks has experienced also an exponential increase in wireless faults vulnerabilities and attacks. In this paper, we present a wireless self-protection system (WSPS) that has the following significant features: online monitor of the behavior of wireless network, generate relevant network features, track wireless network state machine violations, generate wireless flow keys (WFK), and use the dynamically updated anomaly and misuse rules to detect complex known and unknown wireless attacks. WSPS quantifies the attack impact using the abnormality distance from the baseline normal models. We validate the WSPS approach by experimenting with different wireless attacks, and show that WSPS can detect accurately wireless network attacks and proactively protect against these attacks.
UR - http://www.scopus.com/inward/record.url?scp=52249084333&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=52249084333&partnerID=8YFLogxK
U2 - 10.1109/PERSER.2007.4283916
DO - 10.1109/PERSER.2007.4283916
M3 - Conference contribution
AN - SCOPUS:52249084333
SN - 1424413265
SN - 9781424413263
T3 - 2007 IEEE International Conference on Pervasive Services, ICPS
SP - 193
EP - 195
BT - 2007 IEEE International Conference on Pervasive Services, ICPS
T2 - 2007 IEEE International Conference on Pervasive Services, ICPS
Y2 - 15 July 2007 through 20 July 2007
ER -