Real Time Spatial Transmission Analysis Based Improved Black Hole Attack Detection in WSN for Improved QoS

Abstract

Towards mitigating black hole attack in wireless sensor network (WSN), an efficient real time spatial transmission analysis based improved black hole attack detection scheme is presented. There exist number of approaches towards mitigating black hole attack, but suffer to achieve expected performance in black hole attack detection and suffer to achieve higher performance in different QoS parameters. The proposed Spatial Transmission Analysis based Black hole Attack Detection   (STABD) scheme uses both spatial and transmission features in attack detection. The sensor nodes in this approach are distributed with the topologic information initially. In the route discovery stage, the sensor node collects various routes towards sink by generating route request message. The route reply received from any intermediate node contains different details like energy, number of transmission performed by other nodes. Using this information, the method performs spatial trust analysis (STA) and Transmission Trust Analysis (TTA) on various neighbors. Using the result of different analysis, the source estimates Trusted Route Factor (TRF) for different routes. According to TRF value, optimal route is selected. Also, based on the value of STA and TTA, the presence of black hole attack and malicious node are identified and eliminated. The STABD scheme shows performance development in security and throughput.