Modeling malicious multi-attacker node collusion in MANETs via game theory

Althoughthe mitigation approaches towards securing the mobile adhoc networks against malicious nodes have been explored widely in recent years but there is a dearth of solutions that can prove effective in addressing the behavior of malicious nodes within a network. As a result, visualizing the ma...

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Main Authors:	Khan, Burhan Ul Islam, Olanrewaju, Rashidah Funke, Matoo, Mohd Mueen Ul-Islam, Abdul Aziz, Afza, Ahmad Lone, Sajaad
Format:	Article
Language:	English
Published:	IDOSI Publications 2017
Subjects:	Q Science (General) QA Mathematics QA75 Electronic computers. Computer science
Online Access:	http://irep.iium.edu.my/56761/ http://irep.iium.edu.my/56761/ http://irep.iium.edu.my/56761/ http://irep.iium.edu.my/56761/1/Modeling%20Malicious%20Multi-Attacker%20Node%20Collusion.pdf

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recordtype	eprints
spelling	iium-567612017-11-03T03:02:35Z http://irep.iium.edu.my/56761/ Modeling malicious multi-attacker node collusion in MANETs via game theory Khan, Burhan Ul Islam Olanrewaju, Rashidah Funke Matoo, Mohd Mueen Ul-Islam Abdul Aziz, Afza Ahmad Lone, Sajaad Q Science (General) QA Mathematics QA75 Electronic computers. Computer science Althoughthe mitigation approaches towards securing the mobile adhoc networks against malicious nodes have been explored widely in recent years but there is a dearth of solutions that can prove effective in addressing the behavior of malicious nodes within a network. As a result, visualizing the malicious nodes effectively through various simulation techniques is considered to be the most challenging issue. Owing to the fact that malicious nodes do not employ any such approaches that are probable to be detected, they show confusing behavior which makes it nearly impossible to distinguish them as malicious or regular nodes. The proposed study highlights the ability of game theory for enhancing the multi-attacker collusion approach to represent the unpredictable behavior of nodes in cooperating, reporting, declining or attacking other nodes to achieve effective modelling of the range of mobile nodes in a mobile adhoc network. IDOSI Publications 2017 Article PeerReviewed application/pdf en http://irep.iium.edu.my/56761/1/Modeling%20Malicious%20Multi-Attacker%20Node%20Collusion.pdf Khan, Burhan Ul Islam and Olanrewaju, Rashidah Funke and Matoo, Mohd Mueen Ul-Islam and Abdul Aziz, Afza and Ahmad Lone, Sajaad (2017) Modeling malicious multi-attacker node collusion in MANETs via game theory. Middle-East Journal of Scientific Research, 25 (3). pp. 568-579. ISSN 1990-9233 E-ISSN 1999-8147 https://www.idosi.org/mejsr/mejsr25(3)17.htm 10.5829/idosi.mejsr.2017.568.579
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	Q Science (General) QA Mathematics QA75 Electronic computers. Computer science
spellingShingle	Q Science (General) QA Mathematics QA75 Electronic computers. Computer science Khan, Burhan Ul Islam Olanrewaju, Rashidah Funke Matoo, Mohd Mueen Ul-Islam Abdul Aziz, Afza Ahmad Lone, Sajaad Modeling malicious multi-attacker node collusion in MANETs via game theory
description	Althoughthe mitigation approaches towards securing the mobile adhoc networks against malicious nodes have been explored widely in recent years but there is a dearth of solutions that can prove effective in addressing the behavior of malicious nodes within a network. As a result, visualizing the malicious nodes effectively through various simulation techniques is considered to be the most challenging issue. Owing to the fact that malicious nodes do not employ any such approaches that are probable to be detected, they show confusing behavior which makes it nearly impossible to distinguish them as malicious or regular nodes. The proposed study highlights the ability of game theory for enhancing the multi-attacker collusion approach to represent the unpredictable behavior of nodes in cooperating, reporting, declining or attacking other nodes to achieve effective modelling of the range of mobile nodes in a mobile adhoc network.
format	Article
author	Khan, Burhan Ul Islam Olanrewaju, Rashidah Funke Matoo, Mohd Mueen Ul-Islam Abdul Aziz, Afza Ahmad Lone, Sajaad
author_facet	Khan, Burhan Ul Islam Olanrewaju, Rashidah Funke Matoo, Mohd Mueen Ul-Islam Abdul Aziz, Afza Ahmad Lone, Sajaad
author_sort	Khan, Burhan Ul Islam
title	Modeling malicious multi-attacker node collusion in MANETs via game theory
title_short	Modeling malicious multi-attacker node collusion in MANETs via game theory
title_full	Modeling malicious multi-attacker node collusion in MANETs via game theory
title_fullStr	Modeling malicious multi-attacker node collusion in MANETs via game theory
title_full_unstemmed	Modeling malicious multi-attacker node collusion in MANETs via game theory
title_sort	modeling malicious multi-attacker node collusion in manets via game theory
publisher	IDOSI Publications
publishDate	2017
url	http://irep.iium.edu.my/56761/ http://irep.iium.edu.my/56761/ http://irep.iium.edu.my/56761/ http://irep.iium.edu.my/56761/1/Modeling%20Malicious%20Multi-Attacker%20Node%20Collusion.pdf
first_indexed	2023-09-18T21:20:09Z
last_indexed	2023-09-18T21:20:09Z
_version_	1777411827256262656

Modeling malicious multi-attacker node collusion in MANETs via game theory

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