Stealthy attack detection in multi-channel multi-radio wireless networks

In recent years, the lack of network traffic analysis and flexible network topologies reduce the performance of the multi-channel multi-radio wireless networks. As high scalability of its participants and routing structure, multicast communication of wireless networks is vulnerable to stealthy attacks. Stealthy packet dropping disrupts the packet from reaching the destination through malicious behavior at an intermediate node. A network table is maintained in each hop to transfer the data packet from source to destination. The main contribution of this paper is to use that network table to monitor the drastic changes incoming packet as well as an outgoing packet. More specifically, we have proposed Cumulative Sum algorithm (CuSum) with bootstrap analysis method to monitor the changes in the network packet transmission. We have used NS-2 network simulator to simulate the proposed CUSUM algorithm with a bootstrap method is compared with various other existing change detection methods such as such as Binary Segmentation (BinSeg), Pruned Exact Linear Time (PELT) and Segment Neighborhood (SegNeigh) method. The simulation results proved the efficiency of the proposed CuSum with bootstrap analysis method.