The problem of black hole attack detection in Wireless Sensor Network has been well studied. Presence of malicious node at the transmission path encourages the threat and degrades the performance of entire network. To handle this, an efficient Adaptive Regional Transmission Approximation (ARTA) approach is presented in this article. The method focused to detect the presence of black hole attack at data transmission by approximating the traffic and throughput parameters in the region considered. The method works based on different parameters like energy, location, transmission history, and other regional parameters. According to the above mentioned parameters, the method approximates the trust of different nodes in region manner. The node approximation is performed by measuring Route Trust (RoT) and the regional nodes are approximated with Regional Trust Measure (RTM). Based on these two trust measures computed, the method performs black hole attack detection. The proposed ARTA algorithm produces higher performance in black hole attack detection with less time complexity.

WSN, Black hole attack, Regional Approximation, ARTA, RoT, RTM, trust evaluation, QoS.