A Proposed AODV Black hole Detection Model using the Fuzzy Inference Method in MANET Topology

Mobile Adhoc Network (MANET)as a network of mobile routers that self-configures has raised some security concerns which one of them has been the Black Hole Attack (BHA). Studies have shown various detection and mitigation techniques in line with the black hole attack of MANET technology. However, some of the proposed models in this direction have paid less attention to how fuzzy systems could be integrated in Adhoc On-Demand Distance Vector (AODV)protocol, to further guide its detection abilities against a possible black hole attack. Hence the study proposed a model that integrates the Fuzzy Inference Method (FIM)on the existing AODV security measures in order to strengthen further its detection metrics. Also,an Intrusion Detection System (IDS) was introduced for an early check against possible BHA along with the Fuzzy Parameter Extraction module which performs all necessary parameter checks before passing it on to the FIM. The parameters into consideration were adapted from the study of Narang (2013), with this study modifying further its proposed algorithm using the added concepts earlier mentioned. The proposed model presented tends to perform better than the existing models in this direction with evidence from the theoretical underpinnings of the functionality of the added modules in the proposed system