Visible to the public Black Hole Attack Prevention Method Using Multiple RREPs in Mobile Ad Hoc Networks

TitleBlack Hole Attack Prevention Method Using Multiple RREPs in Mobile Ad Hoc Networks
Publication TypeConference Paper
Year of Publication2018
AuthorsNoguchi, Taku, Hayakawa, Mayuko
Conference Name2018 17th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/ 12th IEEE International Conference On Big Data Science And Engineering (TrustCom/BigDataSE)
Date PublishedAug. 2018
PublisherIEEE
ISBN Number978-1-5386-4388-4
KeywordsAODV, Black hole attack, compositionality, data packets, fake routing information, IP networks, malicious node, MANET, manet privacy, Metrics, mobile ad hoc network, mobile ad hoc networks, mobile nodes, mobile radio, pubcrawl, resilience, Resiliency, Routing, Routing protocols, security, security attack, telecommunication security, threshold-based black hole attack prevention method, Throughput
Abstract

A mobile ad hoc network (MANET) is a collection of mobile nodes that do not need to rely on a pre-existing network infrastructure or centralized administration. Securing MANETs is a serious concern as current research on MANETs continues to progress. Each node in a MANET acts as a router, forwarding data packets for other nodes and exchanging routing information between nodes. It is this intrinsic nature that introduces the serious security issues to routing protocols. A black hole attack is one of the well-known security threats for MANETs. A black hole is a security attack in which a malicious node absorbs all data packets by sending fake routing information and drops them without forwarding them. In order to defend against a black hole attack, in this paper we propose a new threshold-based black hole attack prevention method using multiple RREPs. To investigate the performance of the proposed method, we compared it with existing methods. Our simulation results show that the proposed method outperforms existing methods from the standpoints of packet delivery rate, throughput, and routing overhead.

URLhttps://ieeexplore.ieee.org/document/8455950
DOI10.1109/TrustCom/BigDataSE.2018.00082
Citation Keynoguchi_black_2018