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Level of resilience measure for communication networks

Our daily life applications have come to depend on communication networks to deliver services in an efficient manner. This has made it possible for an attacker to sabotage its operation.Network resiliency is concerned with the degree the network is able to bounce back to a normal operation in the fa...

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Main Author: Ibrahim, Mariam Wajdi
Format: Article
Language:English
Published: Universiti Utara Malaysia Press 2018
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://repo.uum.edu.my/24434/1/JICT%2017%201%202018%20115%20139.pdf
http://repo.uum.edu.my/24434/
http://jict.uum.edu.my/index.php/previous-issues/153-vol17no12018#A6
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spelling my.uum.repo.244342018-07-23T01:24:48Z http://repo.uum.edu.my/24434/ Level of resilience measure for communication networks Ibrahim, Mariam Wajdi QA75 Electronic computers. Computer science Our daily life applications have come to depend on communication networks to deliver services in an efficient manner. This has made it possible for an attacker to sabotage its operation.Network resiliency is concerned with the degree the network is able to bounce back to a normal operation in the face of attacks.This paper introduced a new resiliency measure, called Levelof- Resilience (LoR) for communication networks, determined by examining: (a) the Level-of-Stability-Reduction (LoSR), as measured by percentage of "IP traffic dropped", (b) the eventual Level-of-Performance-Reduction (LoPR), as captured by the percentage of reduction in the application Quality-of-Service (QoS), namely latency and (c) Recovery-Time (RT), which is the time the network takes to detect and recover from an attack or a fault, as measured by convergence duration. Previous resiliency measures may only consider one aspect of the above parameters, while this measure is a composite of them. This paper showed that network topology can affect the network resilience, as indicated by the LoR metric.This measure is illustrated by comparing the resiliency level of two communication networks that served the same traffic, but differed in their network topology, under three different attack scenarios. Universiti Utara Malaysia Press 2018-01-01 Article PeerReviewed application/pdf en http://repo.uum.edu.my/24434/1/JICT%2017%201%202018%20115%20139.pdf Ibrahim, Mariam Wajdi (2018) Level of resilience measure for communication networks. Journal of Information and Communication Technology, 17 (1). pp. 115-139. ISSN 2180-3862 http://jict.uum.edu.my/index.php/previous-issues/153-vol17no12018#A6 17, Issue 1, 1 January 2018, Pages 115-139
institution Universiti Utara Malaysia
building UUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Utara Malaysia
content_source UUM Institutionali Repository
url_provider http://repo.uum.edu.my/
language English
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Ibrahim, Mariam Wajdi
Level of resilience measure for communication networks
description Our daily life applications have come to depend on communication networks to deliver services in an efficient manner. This has made it possible for an attacker to sabotage its operation.Network resiliency is concerned with the degree the network is able to bounce back to a normal operation in the face of attacks.This paper introduced a new resiliency measure, called Levelof- Resilience (LoR) for communication networks, determined by examining: (a) the Level-of-Stability-Reduction (LoSR), as measured by percentage of "IP traffic dropped", (b) the eventual Level-of-Performance-Reduction (LoPR), as captured by the percentage of reduction in the application Quality-of-Service (QoS), namely latency and (c) Recovery-Time (RT), which is the time the network takes to detect and recover from an attack or a fault, as measured by convergence duration. Previous resiliency measures may only consider one aspect of the above parameters, while this measure is a composite of them. This paper showed that network topology can affect the network resilience, as indicated by the LoR metric.This measure is illustrated by comparing the resiliency level of two communication networks that served the same traffic, but differed in their network topology, under three different attack scenarios.
format Article
author Ibrahim, Mariam Wajdi
author_facet Ibrahim, Mariam Wajdi
author_sort Ibrahim, Mariam Wajdi
title Level of resilience measure for communication networks
title_short Level of resilience measure for communication networks
title_full Level of resilience measure for communication networks
title_fullStr Level of resilience measure for communication networks
title_full_unstemmed Level of resilience measure for communication networks
title_sort level of resilience measure for communication networks
publisher Universiti Utara Malaysia Press
publishDate 2018
url http://repo.uum.edu.my/24434/1/JICT%2017%201%202018%20115%20139.pdf
http://repo.uum.edu.my/24434/
http://jict.uum.edu.my/index.php/previous-issues/153-vol17no12018#A6
_version_ 1644284054072197120
score 13.211869

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