Development of HAODV algorithm for the multiple network layer attack detection and mitigation in the MANET

Abstract

Mobile nodes in mobile ad hoc networks (MANETs) move at random, are decentralized, and allow multi-hop communication by communicating between source and destination nodes via intermediary nodes. As a result, mobile ad hoc networks are vulnerable to a variety of assaults, such as wormhole attacks, rush attacks, black hole attacks, gray hole attacks, packet dropping attacks, sleep deprivation attacks, Sybil attacks, and others. Because of the ad hoc network's lack of infrastructure, the developed secure routing system for data transmission drew a lot of attention from the scientific community. The cutting-edge routing protocol HAODV (Hybrid Ad-Hoc On-Demand Distance Vector Protocol) was developed for various network-layer active packet dropping attack detection and mitigation and is based on a single-point detection approach.In this study, the influence of a random mobile environment with random mobility for 1800 seconds was compared to the performance of the routing protocol for large wireless ad hoc networks (100 nodes), producing ten different results for each node set. Packet delivery ratio, throughput, packet dropping ratio, routing overhead, and end-to-end delay quality of service (QoS) measurements are all included in the comparison. According to the simulation results, black hole and packet dropping attacks violate protocol standards and dramatically harm the functionality of good behavior protocols, resulting in throughput drops of up to 81% and network disruption. A single-point attack detection system was used in the development of the HAODV routing protocol to identify various attack types (BH and PDA attacks). The network's throughput and packet delivery ratio are now 90% and 82%, respectively.