research-article

Cross centric intrusion detection system for secure routing over black hole attacks in MANETs

Authors:

N. Rajendran,

P.K. Jawahar,

R. PriyadarshiniAuthors Info & Claims

Volume 148, Issue C

Pages 129 - 135

https://doi.org/10.1016/j.comcom.2019.09.005

Published: 15 December 2019 Publication History

Abstract

Due to the constraint of resources in Mobile Adhoc Network (MANET), usually mobile nodes do not gain perfect routing efficiency. This routing efficiency will be reduced by several numbers of data blockages and the communication time in the routing path. There are many data blockages arising, especially Black Hole Attack (BHA) is a massive anomalous attack in routing. This may cause the efficiency of communication time between nodes. In this juncture, the availability of Intrusion Detection System with Cross centric network which is overloaded with routing path packets, so it is easily affected by the BHA. To decrease the impact of black hole attack using Cross Centric Network Intrusion Detection System, this research proposes the CniDsor framework. CniDsor framework is a diminutive form of the “Cross Centric Intrusion Detection System for Secure Routing over Black Hole Attacks in MANETs”. This system is used to prevent the Black Hole Attacks over the Secure Routing. CniDsor works based on the Path Origin Selection, Priority Portion Assignment (PPA) and IDS attack reduction. In this study, path origin selection utilizes secure routing by “PIHNSPRA Routing Algorithm” and it selects the path from end to end nodes with secure manner and reduces the black-hole attack. Meanwhile, priority portion assignment is used to manage the node position and network monitoring by the “Past Interaction History”. Finally, CniDsor framework provides secure IDS communication efficiency in MANET which is used to accomplish the efficient routing path. Moreover, the proposed CniDsor framework works better and minimizes the communication overhead, packet delay and end to end delay, thus increases the network lifetime, packet delivery ratio (PDR).

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Prasanna KRamesh B(2023)A Review: An Efficient and Reliable Secure Routing Mechanism with the Prevention of Attacks in Mobile Ad-Hoc Network (MANET)Wireless Personal Communications: An International Journal10.1007/s11277-024-10888-9133:4(2541-2580)Online publication date: 1-Dec-2023
https://dl.acm.org/doi/10.1007/s11277-024-10888-9
Saravanan RSuresh KArumugam S(2023)A modified k-means-based cluster head selection and Philippine eagle optimization-based secure routing for MANETThe Journal of Supercomputing10.1007/s11227-023-05053-179:9(10481-10504)Online publication date: 8-Feb-2023
https://dl.acm.org/doi/10.1007/s11227-023-05053-1
Viswanathan SBhuvaneswaran RGanapathy SKannan A(2022)Euler Phi Function and Gamma Function Based Elliptic Curve Encryption for Secured Group CommunicationWireless Personal Communications: An International Journal10.1007/s11277-022-09557-6125:1(421-451)Online publication date: 1-Jul-2022
https://dl.acm.org/doi/10.1007/s11277-022-09557-6
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Cross centric intrusion detection system for secure routing over black hole attacks in MANETs

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Published In

Computer Communications Volume 148, Issue C

Dec 2019

243 pages

ISSN:0140-3664

Issue’s Table of Contents

Elsevier B.V.

Publisher

Elsevier Science Publishers B. V.

Netherlands

Publication History

Published: 15 December 2019

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Prasanna KRamesh B(2023)A Review: An Efficient and Reliable Secure Routing Mechanism with the Prevention of Attacks in Mobile Ad-Hoc Network (MANET)Wireless Personal Communications: An International Journal10.1007/s11277-024-10888-9133:4(2541-2580)Online publication date: 1-Dec-2023
https://dl.acm.org/doi/10.1007/s11277-024-10888-9
Saravanan RSuresh KArumugam S(2023)A modified k-means-based cluster head selection and Philippine eagle optimization-based secure routing for MANETThe Journal of Supercomputing10.1007/s11227-023-05053-179:9(10481-10504)Online publication date: 8-Feb-2023
https://dl.acm.org/doi/10.1007/s11227-023-05053-1
Viswanathan SBhuvaneswaran RGanapathy SKannan A(2022)Euler Phi Function and Gamma Function Based Elliptic Curve Encryption for Secured Group CommunicationWireless Personal Communications: An International Journal10.1007/s11277-022-09557-6125:1(421-451)Online publication date: 1-Jul-2022
https://dl.acm.org/doi/10.1007/s11277-022-09557-6
Alotaibi M(2022)Geographic routing in mobile ad hoc networks (MANET) using hybrid optimization model: a multi-objective perspectiveApplied Intelligence10.1007/s10489-022-03885-753:9(11214-11228)Online publication date: 2-Sep-2022
https://dl.acm.org/doi/10.1007/s10489-022-03885-7
Prasad MTripathi SDahal K(2022)A probability estimation-based feature reduction and Bayesian rough set approach for intrusion detection in mobile ad-hoc networkApplied Intelligence10.1007/s10489-022-03763-253:6(7169-7185)Online publication date: 16-Jul-2022
https://dl.acm.org/doi/10.1007/s10489-022-03763-2
Gayathri VSupraja PSulthana AMukunthan P(2022)Modified device key generation algorithm and A* algorithm to optimize the security measures based on trust value in device-to-device communicationsSoft Computing - A Fusion of Foundations, Methodologies and Applications10.1007/s00500-021-06508-426:23(13081-13096)Online publication date: 1-Dec-2022
https://dl.acm.org/doi/10.1007/s00500-021-06508-4
Juneja K(2021)Trust-Aware Fuzzy Evaluation Method for Preventive Route Generation in Mobile NetworkWireless Personal Communications: An International Journal10.1007/s11277-021-08426-y119:4(3673-3697)Online publication date: 1-Aug-2021
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Karthick KAsokan R(2021)Mobility Aware Quality Enhanced Cluster Based Routing Protocol for Mobile Ad-Hoc Networks Using Hybrid Optimization AlgorithmWireless Personal Communications: An International Journal10.1007/s11277-021-08387-2119:4(3063-3087)Online publication date: 10-Apr-2021
https://dl.acm.org/doi/10.1007/s11277-021-08387-2

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Secure Video Transmission Against Black Hole Attack in MANETs

Black Hole attack Detection using Fuzzy based Intrusion Detection Systems in MANET

Prevention of selective black hole attacks on mobile ad hoc networks through intrusion detection systems

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