RCIDSs for wireless mesh networks

International Conference and Business Expo on Wireless Communication & Network

September 21-23, 2015 Baltimore, USA

K Ganesh Reddy

Shri Vishnu Engineering College for Women, India

Posters-Accepted Abstracts: Sensor Netw Data Commun

Abstract :

Single-layer intrusion detection systems (SIDSs) consider only layer-independent parameters to isolate the various attacks in wireless mesh networks (WMNs). SIDSs generally use predefined measures such as maximum distance, hop count or round-trip time (RTT) etc, of any two communication nodes to isolate the attacks. The predefined measures of SIDSs lead to more false alarms being triggered, since these measures are not considering the behavior of the path/node when actual data packets are being forwarded. To overcome this problem, researchers have come up with behavior-based SIDSs. Behavior-based SIDSs consider layer-independent parameters to analyze the node/path behavior in WMNs, which is volatile in nature. Hence, SIDSs need layer-dependent parameters to reduce false alarms. Cross-layer intrusion detection systems (CIDSs) consider multilayer interactions to analyze the anomalies. CIDSs receive more attention because of their comprehensive ability to judge the anomalies in WMNs. However, CIDSs also suffer from false alarms due to misdetection of failure of a node/path as a malicious node/path. Reputation mechanisms empower the CIDSs by varying the reputation value of a node/path in the network. Existing reputation based IDSs do not consider the cross-layer parameters; instead they only consider the single layer parameters. Thus, researches have wide scope to develop the reputation based cross-layer intrusion detection systems (RCIDSs) in WMNs.

Biography :

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