9203 Published By: Blue Eyes Intelligence Engineering & Sciences Publication Retrieval Number: D9113118419/2019©BEIESP DOI:10.35940/ijrte.D9113.118419 Journal Website: www.ijrte.org Novel Preventive Detection Technique for Black-Hole Malware Attack in Wireless Mobile Ad-Hoc Network (WMANET)

Abstract

A wireless mobile ad-hoc network (WMANET) is endless self-organizing, infrastructure-less collection of movable devices which are connected by using a wireless communication system. In other word's WMANET is an autonomous, decentralized, dynamic topology, provisional network system having wireless movable devices (nodes) moving randomly without an infrastructure of the network. Furthermore, the nodes communicate with every supplementary node, through forwarding data-packets toward other nodes in the WMANET. The node finds a path to the destination node by applying routing techniques. Due to the dynamic topology of movable nodes wireless mobile network is more vulnerable to security and unprotected to attacks by the malicious node. One of the attacks is Blackhole malware Attack, a malicious-node wrongly advertises shortest to the destination node among an intention of disrupting the network communication. Because the data packets did not arrive at the destination node due to this attack data is lost. In the literature, researchers have been proposed various preventive detection techniques. These techniques used to detect and prevent the black-hole malware attacks. Furthermore, in this paper Novel Detection and Prevention mechanism (INCMAODV) has been simulated the black-hole attack in WMANET scenario. The proposed technique tried to find quality of service (QoS) parameters for instance throughput (Th), packet delivery ratio (PDR) and delay of the network and compared withthe state of the art. . His current research area includes mobile computing, wireless sensor network, cyber security, machine learning and deep learning. He published several papers in reputed journals. He also organized and attended several workshops.