Enhancing Malfunction Resilience in Cognitive Radio Networks

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Vibhakar Pathak
Dr. K C Roy, Santosh Kumar Singh


This paper proposes a malfunction resilient protocol for routing based on COGNET and Cross Layer Aware(CLA)
architectures . Different from existing solutions Cog-CLAR(Cognitive- Cross layer Aware Routing) , does not focus on a
particular attack or malfunction but instead takes generalized approach. Cog-CLAR achieves resilience against a range of routing
disruption by treating them as “dysfunctional “ networks ,denote link and routing failures caused by link contention or node
mobility. Cog-CLAR is a cross layer scheme that detects attacks or malfunction at the transport layer but responds to them at the
network layer or MAC layer . Because dysfunctional network events and disruption attacks have pronounced effect on the size of
transport layer congestion window and flow monitoring of G C P(Global Control Pane of COGNET architecture) monitoring
such is an effective method of detecting such event using this method Cog-CLAR is able to detect attacks or malfunction . Once
attack is detected Cog-CLAR initiate cognitive radio function or re-routing that circumvents and bootstrap the nodes that are
likely to be misbehaving. Analysis and simulation results show that Cog-CLAR is effective in the monitoring a number of
malfunction or insider as well as jelly fish (JF) attack our results indicate that Cog-CLAR is also effective in improving network
throughout because its proactive cognitive radio function aids in maintaining a reasonable level of throughout when dysfunctional
network events occurs.



Keywords: Cognet, DoS, cross-layer, jelly-fish ,DSR ,OMNET++


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