Detecting black hole attacks in MANET using relieff classification algorithm
Firas Ali Albalas, Munner Bani Yaseen, Asma'a Nassar · 2019
In wireless networks a set of issues should be considered, one of the most issue sis the security issue especially in wireless Ad hoc networks due to the absence of centralized control. Black Hole attacks are one of the Denial of Service (DoS) attacks that affect the performance of the network by reducing the efficiency of this network. In this paper a new technique is proposed depending on one of the most common classification algorithms called ReiefF to select the most relevant features to detect black hole nodes and prevent the use of these nodes in routes and mark these nodes as a bad node. An experiments are employed using simulation environment and a set of metrics are evaluated giving a result that the proposed technique gave a significant improvement in the network performance starting from 20% up to 40%.