期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2014
期号：ICETS
页码：120
出版社：S&S Publications
摘要：We present an approach to d etect a selfish node in a wireless network by passive monitoring. This does not require any access to the network nodes. Our approach requires deploying multiple sniffers across the network to capture wireless traffic traces among multiple channels. IEEE 8 02.11 networks support multiple channels and a wireless interface can monitor only a single channel at one time. Thus, capturing all frames passing an interface on all channels is an impossible task, and we need strategies to capture the most representativ e sample. When a large area is to be monitored, several sniffers must be deployed, and these will typically overlap in their area of coverage. The goals of effective wireless monitoring are to capture as many frames as possible, while minimizing the number of those frames that are captured redundantly by more than one sniffer. The above goals May be addressed with a coordinated sampling strategy that directs neighboring sniffer to different channels during any period. These traces are then analyzed using hi dden markov model to i nfer the misbehavior node in wifi networks.
