Title :
WLAN covert timing channel detection
Author :
Hong Zhao ; Minxiou Chen
Author_Institution :
Fairleigh Dickinson Univ., Teaneck, NJ, USA
Abstract :
Wireless LANs have been widely used to carry out a system to access Internet. WLAN security becomes mission one, especially a new type of attacks called covert channel based attack surfaced over the past few years. This attack uses different data rates provided in WLAN to transmit a secret message. Detecting this covert channel could be difficult due to existence of rate diversity in 802.11 WLAN. Multiple transmission data rates are supported to exploit the trade-off between obtaining the highest possible data rate and trying to minimize the number of communication errors. In this paper, a feature modal is proposed to form possible hypotheses and then statistic hypothesis testing is applied. Simulation results on publicly available WLAN traffic show that our proposed approach could achieve 100% detection rate.
Keywords :
Internet; computer network security; message authentication; signal detection; statistical analysis; telecommunication traffic; wireless LAN; wireless channels; IEEE 802.11 standard; Internet; WLAN covert timing channel detection; WLAN traffic; communication error minimization; secret message transmission; statistic hypothesis testing; wireless local area network security; IEEE 802.11 Standards; Monitoring; Security; Testing; Timing; Wireless LAN; Wireless communication;
Conference_Titel :
Wireless Telecommunications Symposium (WTS), 2015
Conference_Location :
New York, NY
Print_ISBN :
978-1-4799-6775-9
DOI :
10.1109/WTS.2015.7117246