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FSM-F: Finite State Machine Based Framework for Denial of Service and Intrusion Detection in MANET

Due to the continuous advancements in wireless communication in terms of quality of communication and affordability of the technology, the application area of Mobile Adhoc Networks (MANETs) significantly growing particularly in military and disaster management. Considering the sensitivity of the app...

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Detalles Bibliográficos
Autores principales: N. Ahmed, Malik, Abdullah, Abdul Hanan, Kaiwartya, Omprakash
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4902226/
https://www.ncbi.nlm.nih.gov/pubmed/27285146
http://dx.doi.org/10.1371/journal.pone.0156885
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author N. Ahmed, Malik
Abdullah, Abdul Hanan
Kaiwartya, Omprakash
author_facet N. Ahmed, Malik
Abdullah, Abdul Hanan
Kaiwartya, Omprakash
author_sort N. Ahmed, Malik
collection PubMed
description Due to the continuous advancements in wireless communication in terms of quality of communication and affordability of the technology, the application area of Mobile Adhoc Networks (MANETs) significantly growing particularly in military and disaster management. Considering the sensitivity of the application areas, security in terms of detection of Denial of Service (DoS) and intrusion has become prime concern in research and development in the area. The security systems suggested in the past has state recognition problem where the system is not able to accurately identify the actual state of the network nodes due to the absence of clear definition of states of the nodes. In this context, this paper proposes a framework based on Finite State Machine (FSM) for denial of service and intrusion detection in MANETs. In particular, an Interruption Detection system for Adhoc On-demand Distance Vector (ID-AODV) protocol is presented based on finite state machine. The packet dropping and sequence number attacks are closely investigated and detection systems for both types of attacks are designed. The major functional modules of ID-AODV includes network monitoring system, finite state machine and attack detection model. Simulations are carried out in network simulator NS-2 to evaluate the performance of the proposed framework. A comparative evaluation of the performance is also performed with the state-of-the-art techniques: RIDAN and AODV. The performance evaluations attest the benefits of proposed framework in terms of providing better security for denial of service and intrusion detection attacks.
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spelling pubmed-49022262016-06-24 FSM-F: Finite State Machine Based Framework for Denial of Service and Intrusion Detection in MANET N. Ahmed, Malik Abdullah, Abdul Hanan Kaiwartya, Omprakash PLoS One Research Article Due to the continuous advancements in wireless communication in terms of quality of communication and affordability of the technology, the application area of Mobile Adhoc Networks (MANETs) significantly growing particularly in military and disaster management. Considering the sensitivity of the application areas, security in terms of detection of Denial of Service (DoS) and intrusion has become prime concern in research and development in the area. The security systems suggested in the past has state recognition problem where the system is not able to accurately identify the actual state of the network nodes due to the absence of clear definition of states of the nodes. In this context, this paper proposes a framework based on Finite State Machine (FSM) for denial of service and intrusion detection in MANETs. In particular, an Interruption Detection system for Adhoc On-demand Distance Vector (ID-AODV) protocol is presented based on finite state machine. The packet dropping and sequence number attacks are closely investigated and detection systems for both types of attacks are designed. The major functional modules of ID-AODV includes network monitoring system, finite state machine and attack detection model. Simulations are carried out in network simulator NS-2 to evaluate the performance of the proposed framework. A comparative evaluation of the performance is also performed with the state-of-the-art techniques: RIDAN and AODV. The performance evaluations attest the benefits of proposed framework in terms of providing better security for denial of service and intrusion detection attacks. Public Library of Science 2016-06-10 /pmc/articles/PMC4902226/ /pubmed/27285146 http://dx.doi.org/10.1371/journal.pone.0156885 Text en © 2016 N. Ahmed et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
N. Ahmed, Malik
Abdullah, Abdul Hanan
Kaiwartya, Omprakash
FSM-F: Finite State Machine Based Framework for Denial of Service and Intrusion Detection in MANET
title FSM-F: Finite State Machine Based Framework for Denial of Service and Intrusion Detection in MANET
title_full FSM-F: Finite State Machine Based Framework for Denial of Service and Intrusion Detection in MANET
title_fullStr FSM-F: Finite State Machine Based Framework for Denial of Service and Intrusion Detection in MANET
title_full_unstemmed FSM-F: Finite State Machine Based Framework for Denial of Service and Intrusion Detection in MANET
title_short FSM-F: Finite State Machine Based Framework for Denial of Service and Intrusion Detection in MANET
title_sort fsm-f: finite state machine based framework for denial of service and intrusion detection in manet
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4902226/
https://www.ncbi.nlm.nih.gov/pubmed/27285146
http://dx.doi.org/10.1371/journal.pone.0156885
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