An Alternative Approach to Detect Presence of Black Hole Nodes in Mobile Ad-Hoc Network Using Artificial Neural Network
In this paper, the authors reports on Alive and Black Hole node detection if it exists in any Mobile Ad-hoc NETworks (MANETs). The dynamic topology of MANETs allows nodes to join and leave the network at any time instance. This general feature of MANET has exposed to major security attacks including existence of black hole nodes, which adversely affects the entire routing practice. To deal with this routing mess, they have proposed an Artificial Neural Network (ANN) based automated Black Hole node detection tactic, which is capable of detecting the existence of Black hole node(s) in the MANET and thus helps to minimize the smash up in reliable routing procedure. Experimental results in network simulation confirm the hazards caused by presence of Black hole node(s) in MANET, which is same as their earlier research on black hole node detection using Cellular Automata (CA).