An Enhanced Cross-Layer Approach Based on Fuzzy-Logic for Securing Wireless Ad-Hoc Networks from Black Hole Attacks
Apr 30, 2018
Publisher: Praise Worthy Prize
Black holes attack in ad-hoc network systems can obstruct network functions, e.g.; successful packets delivery to destinations. Current conventional detection mechanisms are based on single layer information, lack of appropriate performance metrics, and/or the adequate accuracy. In this paper, a new cross layer Intrusion Detection System (IDS) is proposed, in order to mitigate the black hole attack in wireless ad-hoc networks. The proposed work modifies ad-hoc routing protocol for black hole attacks detection through extracting information from different OSI layers, and use these information as inputs into the fuzzy logic system, in which the algorithm precisely detects existing malicious nodes. Using NS2 simulation tool, a comprehensive simulation is conducted in order to compare our proposed approach performance with a recent cross layer-based approach for black hole intrusion detection . Simulation results reveal that our proposed system has a tremendous accuracy in detecting black holes with an acceptable additional overhead.