The Intrusion Detection System for MANETS

Authors(2) :-Insha Majeed, Sakshi Arora

Mobile Ad Hoc Networks (MANETs) are very important and unique application as they do not require a fixed network infrastructure and move over both works of transmitter and receiver are done by single node. Nodes are able to communicate directly with each other or though their neighbours to relay messages. MANETs can be envisioned for military and emergency communication due to the capability of cooperative routing but are also more vulnerable to routing attacks than wired networks. Thus it is imperative to develop efficient intrusion detection mechanisms to protect MANETs. To detect new routing attacks in MANETs we have applied specification based intrusion detection approach that defines normal behaviour to the protected networks. In this paper, we propose a complete distributed intrusion detection system that consist of four models MATEs which formal reasoning and simulation experiments for evaluation. Optimal Links State Routing (OLSR) is representatives of a proactive, link-state routing protocol of MANETs, and the Ad Hoc On Demand routing Vector (AODV) is the other popular, reactive request-on demand routing protocol. Both OLSR and AODC have IETF RECs.

Authors and Affiliations

Insha Majeed
Department of Computer Science and Engineering, Sri Mata Vaishnodevi University, Katra, Jammu and Kashmir India
Sakshi Arora
Department of Computer Science and Engineering, Sri Mata Vaishnodevi University, Katra, Jammu and Kashmir India

AODE, Topology Control, RREP, RERP, Hop, OLSR, DEMEM, DRETA

Publication Details

Published in : Volume 2 | Issue 7 | September 2017
Date of Publication : 2017-09-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 142-156
Manuscript Number : CSEIT174419
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Insha Majeed, Sakshi Arora, "The Intrusion Detection System for MANETS", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 7, pp.142-156, September-2017.
Journal URL : http://ijsrcseit.com/CSEIT174419

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