article

Trust Based Intrusion Detection Technique to Detect Selfish Nodes in Mobile Ad Hoc Networks

Authors:

Kamlesh DuttaAuthors Info & Claims

Wireless Personal Communications: An International Journal, Volume 101, Issue 4

Pages 2029 - 2052

https://doi.org/10.1007/s11277-018-5804-4

Published: 01 August 2018 Publication History

Abstract

The applications and protocols conceived for mobile ad hoc networks rely on the assumption of cooperation amongst the mobile nodes because of lacking infrastructure. All nodes have to spend their precious resources (e.g. battery power, memory, computational power, and network bandwidth) for routing and packet forwarding operations for other nodes, in a cooperative way in the network. However, there are some nodes that may intentionally turn themselves to behave selfishly in order to conserve their valuable resources. The selfish behaviour of such nodes drastically reduces the desired degree of cooperation amongst the mobile nodes. Over the course of time, the non-cooperative activities of, such selfish nodes would paralyze the normal functioning of the whole network. Therefore, these types of nodes should be detected and isolated from the network, as soon as they begin to exhibit their selfish behaviour. In this paper, a dynamic trust based intrusion detection technique is presented to detect and isolate the selfish nodes from the network, where the direct trust degree based on direct communication interactions and indirect (recommended) trust degree based on the neighbours' recommendations are taking into account to accurately judge the selfishness nature of the nodes. The results obtained throughout the simulation experiments clearly show the feasibility and effectiveness of the proposed intrusion detection technique.

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Cited By

Bounouni MBouallouche-Medjkoune LBeraza ADaoud A(2022)Eliminating Selective Dropping Attack in Mobile Ad Hoc NetworkWireless Personal Communications: An International Journal10.1007/s11277-021-09289-z123:4(3291-3308)Online publication date: 1-Apr-2022
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Ghorbanalizadeh MDerakhshanfard NJafariNavimipour N(2022)Introducing a new algorithm based on collaborative game theory with the power of learning selfish node records to encourage selfish nodes in mobile social networksWireless Networks10.1007/s11276-022-02897-y28:4(1657-1669)Online publication date: 1-May-2022
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Janakiraman SPriya MJebamalar A(2021)Integrated Context-Based Mitigation Framework for Enforcing Security against Rendezvous Point Attack in MANETsWireless Personal Communications: An International Journal10.1007/s11277-021-08323-4119:3(2147-2163)Online publication date: 1-Aug-2021
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Trust Based Intrusion Detection Technique to Detect Selfish Nodes in Mobile Ad Hoc Networks
1. General and reference
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cover image Wireless Personal Communications: An International Journal

Wireless Personal Communications: An International Journal Volume 101, Issue 4

August 2018

583 pages

ISSN:0929-6212

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Copyright © Copyright © 2018 Springer Science+Business Media, LLC, part of Springer Nature.

Publisher

Kluwer Academic Publishers

United States

Publication History

Published: 01 August 2018

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Cited By

Bounouni MBouallouche-Medjkoune LBeraza ADaoud A(2022)Eliminating Selective Dropping Attack in Mobile Ad Hoc NetworkWireless Personal Communications: An International Journal10.1007/s11277-021-09289-z123:4(3291-3308)Online publication date: 1-Apr-2022
https://dl.acm.org/doi/10.1007/s11277-021-09289-z
Ghorbanalizadeh MDerakhshanfard NJafariNavimipour N(2022)Introducing a new algorithm based on collaborative game theory with the power of learning selfish node records to encourage selfish nodes in mobile social networksWireless Networks10.1007/s11276-022-02897-y28:4(1657-1669)Online publication date: 1-May-2022
https://dl.acm.org/doi/10.1007/s11276-022-02897-y
Janakiraman SPriya MJebamalar A(2021)Integrated Context-Based Mitigation Framework for Enforcing Security against Rendezvous Point Attack in MANETsWireless Personal Communications: An International Journal10.1007/s11277-021-08323-4119:3(2147-2163)Online publication date: 1-Aug-2021
https://dl.acm.org/doi/10.1007/s11277-021-08323-4
Boufenneche YZitouni RGeorge LGharbi N(2021)Selfishness in secure internet of things networks: 6TiSCH case studyWireless Networks10.1007/s11276-021-02711-127:6(3927-3946)Online publication date: 1-Aug-2021
https://dl.acm.org/doi/10.1007/s11276-021-02711-1
Rehman GGhani AZubair MGhayyure SMuhammad S(2021)Honesty based democratic scheme to improve community cooperation for Internet of Things based vehicular delay tolerant networksTransactions on Emerging Telecommunications Technologies10.1002/ett.419132:1Online publication date: 13-Jan-2021
https://dl.acm.org/doi/10.1002/ett.4191
Adhikary KBhushan SKumar SDutta K(2020)Hybrid Algorithm to Detect DDoS Attacks in VANETsWireless Personal Communications: An International Journal10.1007/s11277-020-07549-y114:4(3613-3634)Online publication date: 1-Oct-2020
https://dl.acm.org/doi/10.1007/s11277-020-07549-y

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