NDLI: Jamming attacks in 802.11g — A cognitive radio based approach

Content Provider	IEEE Xplore Digital Library
Author	Prasad, S. Thuente, D.J.
Copyright Year	2011
Description	Author affiliation: Department of Computer Science, North Carolina State University, USA (Prasad, S.; Thuente, D.J.)
Abstract	Wireless networks are susceptible to jamming attacks, which can severely reduce the network throughput. In this paper, we study the behavior and the performance of 802.11g networks under a hybrid jamming attack of configuring a cognitive radio as a jammer. With characteristics such as fast channel switching, quick response time and software reconfigurability, cognitive radios can be used not only to improve the spectrum sharing management, but also to act as an effective jammer. We use a single cognitive radio to simultaneously jam three networks in an energy efficient manner and also to deny any channel change protocol by the targeted network to avoid jamming. We attack the ‘g’ band OFDM channels directly using the fast channel switching capability of the cognitive radio. The jammer sequentially senses traffic on each of the networks without being part of any network. We present the results of the jamming attacks at the MAC and physical layers. We show how the cognitive radio can dynamically adjust its attack to the traffic on each network. We evaluated the performance of three networks individually and together under intelligent and reactive jamming.
Starting Page	1219
Ending Page	1224
File Size	869120
Page Count	6
File Format	PDF
ISBN	9781467300797
ISSN	21557578
e-ISBN	9781467300810
DOI	10.1109/MILCOM.2011.6127467
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-11-07
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Jamming IEEE 802.11g Standard Throughput Switches Cognitive radio OFDM efficient attacks Cognitive radio jamming 802.11g simultaneous multi-network jamming
Content Type	Text
Resource Type	Article

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