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INTERNATIONAL JOURNAL OF NEXT-GENERATION COMPUTING
Article . 2021 . Peer-reviewed
License: CC BY
Data sources: Crossref
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Comparative Analysis of Intrusion Detection System in Reactive Routing Protocols of Mobile Adhoc Networks

Authors: Manish Devendra Chawhan; Ausaf Umar Khan; Kishore Damodar Kulat; Bhumika Neole;

Comparative Analysis of Intrusion Detection System in Reactive Routing Protocols of Mobile Adhoc Networks

Abstract

Mobile Nodes in Mobile Adhoc Network (MANET) interact wirelessly with the neighbor nodes without aid ofcentral management. They are subject to a variety of attacks, including as the black hole, insider, grey hole,wormhole, flooding attack, and packet drop, all of which severely impair secure communication. This paperincorporated an intrusion detection system (IDS) into a reactive MANET routing protocol, such as Adhoc OnDemand Distance Vector (AODV), for the detection and prevention of malicious nodes. To make a comparisonwith the implemented IDSAODV, the existing NetSim code of Intrusion Detection System (IDS) based on DynamicSource Routing (DSR) protocol is utilized. We created a Black-hole node to conduct malicious activities in thenetwork. The IDSAODV and IDSDSR are analyzed for different Quality of Service (QoS) characteristics suchas Packet Delivery Ratio (PDR), Throughput, Energy Consumption, and delay in a network size of 10 nodesfor simulation period of 100 seconds. The NetSim tool was utilized as a simulation tool for creating networkwith malicious node and to implement IDS. The results demonstrate that the IDSAODV and IDSDSR efficientlyidentify and prevent a BH attack on the network. The IDSAODV improves PDR and throughput while consumingmore energy and having a little higher delay

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
hybrid