Detection of Black Hole Attack in Wireless Sensor Network Using UAV

Recently, unmanned aerial vehicles (UAVs) has been proposed for effective data propagation and collection in wireless sensor networks (WSNs). In this paper, we use UAV for detecting black hole attack in WSN. Black hole attack is accomplished by malicious nodes that advertise their route to the intended destination as the shortest and optimized one, therefore, they gather most of the network traffic and then drop all packets. This attack results in loss of critical information on the network. We propose a method to overcome this problem with a shorter running time in comparison to other methods and detect malicious nodes with higher probability. UAV is used for checking nodes and Sequential Probability Ratio Test method as a dynamic threshold scheme for blocking malicious nodes. Simulations and analyses show that our proposed technique achieves effective and fast detection of black hole attack with acceptable energy consumption.