Selfish MAC layer misbehavior detection model for the IEEE 802.11-based wireless mesh networks

Authors:
Hongjian Li;Ming Xu;Yi Li
Affiliations:
Department of Network Engineering, School of Computer Science, National University of Defense Technology, Changsha, China;Department of Network Engineering, School of Computer Science, National University of Defense Technology, Changsha, China;Staff Room of Automatization Technology, Logistics and Engineering University, Chongqing, China
Venue:
APPT'07 Proceedings of the 7th international conference on Advanced parallel processing technologies
Year:
2007

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Abstract

CSMA/CA, the contention mechanism of the IEEE 802.11 DCF medium access protocol, has recently been found vulnerable to selfish attacks. Such attacks can greatly increase a selfish station's bandwidth share at the expense of honest stations. Based on the in-depth research of the attack model of selfish behavior in WMN, the attack strategy of smart selfish nodes was focused, analyzed and according to its characteristics, a double-mode detection mechanism was proposed. The one mode is selfish attack detection to sequential data; the other is attack detection to non-sequential data transmission ground on statistics. Subsequently the selfish behavior detection model was proposed with the double-mode detection mechanism, which was finally simulated in ns-2. The simulation results indicated that the new selfish behavior detection model which used the double-mode detection mechanism is preferably adapt to the selfish attack behavior and can commendably solve the problem of smart selfish nodes in WMN.