An efficient detection model of selective forwarding attacks in wireless mesh networks

Wireless communications technologies have seen a great degree of advancements and sophistication in the past decade. Different research works have tried to solve various issues related to different wireless Ad hoc networks, many of which are yet to find standardized solutions. Among different classe...

Full description

Bibliographic Details
Main Authors: Khanam, Shapla, Saleem, Habibullah Yusuf, Pathan, Al-Sakib Khan
Format: Article
Language:English
Published: Springer-Verlag, Berlin, Germany 2012
Subjects:
Online Access:http://irep.iium.edu.my/25753/
http://irep.iium.edu.my/25753/
http://irep.iium.edu.my/25753/1/76460001.pdf
id iium-25753
recordtype eprints
spelling iium-257532012-09-20T06:38:53Z http://irep.iium.edu.my/25753/ An efficient detection model of selective forwarding attacks in wireless mesh networks Khanam, Shapla Saleem, Habibullah Yusuf Pathan, Al-Sakib Khan QA75 Electronic computers. Computer science Wireless communications technologies have seen a great degree of advancements and sophistication in the past decade. Different research works have tried to solve various issues related to different wireless Ad hoc networks, many of which are yet to find standardized solutions. Among different classes of Ad hoc networks, Wireless Mesh Networks (WMNs) are becoming a popular choice now-a-days, which offer flexible, fast and inexpensive connectivity for communities, homes, municipalities, and other similar premises. While different research issues are being extensively dealt with for WMN, security flaws and attacks are turning out to be a significant concern as relatively less attention has been dedicated to this topic so far by the research community. Because of the structural formation and mode of operation of WMN, routing security is one of the prime concerns in WMN. An efficient method of detecting selective forwarding attack could largely ensure better and secure routing for which we have taken this as our research motivation. In this paper, we present a model for detecting selective forwarding attacks with a game theory-based approach to analyze the attack model, where the main goal of player 1 is to maximize its throughput and the goal of player 2 is to minimize the throughput of network. In our approach, we also propose a multi-hop acknowledgement based algorithm to analyze and detect the malicious behavior to defend against selective forwarding attacks in WMNs. We present our mathematical model and analyze it in detail to illustrate the efficiency of the proposed approach. Springer-Verlag, Berlin, Germany 2012 Article PeerReviewed application/pdf en http://irep.iium.edu.my/25753/1/76460001.pdf Khanam, Shapla and Saleem, Habibullah Yusuf and Pathan, Al-Sakib Khan (2012) An efficient detection model of selective forwarding attacks in wireless mesh networks. Lecture Notes in Computer Science (LNCS), 7646. pp. 1-14. ISSN 1611-3349 (O), 0302-9743 (P) (In Press) http://www.springer.com/series/558
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Khanam, Shapla
Saleem, Habibullah Yusuf
Pathan, Al-Sakib Khan
An efficient detection model of selective forwarding attacks in wireless mesh networks
description Wireless communications technologies have seen a great degree of advancements and sophistication in the past decade. Different research works have tried to solve various issues related to different wireless Ad hoc networks, many of which are yet to find standardized solutions. Among different classes of Ad hoc networks, Wireless Mesh Networks (WMNs) are becoming a popular choice now-a-days, which offer flexible, fast and inexpensive connectivity for communities, homes, municipalities, and other similar premises. While different research issues are being extensively dealt with for WMN, security flaws and attacks are turning out to be a significant concern as relatively less attention has been dedicated to this topic so far by the research community. Because of the structural formation and mode of operation of WMN, routing security is one of the prime concerns in WMN. An efficient method of detecting selective forwarding attack could largely ensure better and secure routing for which we have taken this as our research motivation. In this paper, we present a model for detecting selective forwarding attacks with a game theory-based approach to analyze the attack model, where the main goal of player 1 is to maximize its throughput and the goal of player 2 is to minimize the throughput of network. In our approach, we also propose a multi-hop acknowledgement based algorithm to analyze and detect the malicious behavior to defend against selective forwarding attacks in WMNs. We present our mathematical model and analyze it in detail to illustrate the efficiency of the proposed approach.
format Article
author Khanam, Shapla
Saleem, Habibullah Yusuf
Pathan, Al-Sakib Khan
author_facet Khanam, Shapla
Saleem, Habibullah Yusuf
Pathan, Al-Sakib Khan
author_sort Khanam, Shapla
title An efficient detection model of selective forwarding attacks in wireless mesh networks
title_short An efficient detection model of selective forwarding attacks in wireless mesh networks
title_full An efficient detection model of selective forwarding attacks in wireless mesh networks
title_fullStr An efficient detection model of selective forwarding attacks in wireless mesh networks
title_full_unstemmed An efficient detection model of selective forwarding attacks in wireless mesh networks
title_sort efficient detection model of selective forwarding attacks in wireless mesh networks
publisher Springer-Verlag, Berlin, Germany
publishDate 2012
url http://irep.iium.edu.my/25753/
http://irep.iium.edu.my/25753/
http://irep.iium.edu.my/25753/1/76460001.pdf
first_indexed 2023-09-18T20:38:21Z
last_indexed 2023-09-18T20:38:21Z
_version_ 1777409197189627904