Algorithms for localisation of crosstalk attacks in All­Optical Network

The main aims of this study are divided into, firstly, a generic model of crosstalk attack and its monitoring with three levels of crosstalk attack propagation are determined. Secondly, the determined crosstalk attack and monitor model is investigated and a method which has the capability to detect...

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Main Author: Siew, Hong Wei
Format: Thesis
Published: 2013
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spelling my-mmu-ep.63012016-01-28T03:46:59Z Algorithms for localisation of crosstalk attacks in All­Optical Network 2013-02 Siew, Hong Wei TK7800-8360 Electronics The main aims of this study are divided into, firstly, a generic model of crosstalk attack and its monitoring with three levels of crosstalk attack propagation are determined. Secondly, the determined crosstalk attack and monitor model is investigated and a method which has the capability to detect and locate multiple crosstalk attacks under sparse monitoring, where only a set of nodes is selected as monitor node in AON, is proposed subsequently. Two problems are addressed in this research study regards the crosstalk attack localisation under sparse monitoring in AON, namely the determination of placement of monitoring device in a network by the use of Greedy Monitor Placement Algorithm and the subsequent development of the identification and localisation algorithm of multiple crosstalk attack in AON. The use of sparse monitoring for crosstalk attack localisation in AON significantly reduces the cost of equipping all nodes with monitoring device. Lastly, to demonstrate the robustness of the proposed algorithms, a worst­case scenario where all­to­all connections are assumed to contaminate with crosstalk in all the nodes in a network. The proposed algorithms are tested in several networks with different attacks. 2013-02 Thesis http://shdl.mmu.edu.my/6301/ http://library.mmu.edu.my/diglib/onlinedb/dig_lib.php masters Multimedia University Faculty of Computing and Informatics
institution Multimedia University
collection MMU Institutional Repository
topic TK7800-8360 Electronics
spellingShingle TK7800-8360 Electronics
Siew, Hong Wei
Algorithms for localisation of crosstalk attacks in All­Optical Network
description The main aims of this study are divided into, firstly, a generic model of crosstalk attack and its monitoring with three levels of crosstalk attack propagation are determined. Secondly, the determined crosstalk attack and monitor model is investigated and a method which has the capability to detect and locate multiple crosstalk attacks under sparse monitoring, where only a set of nodes is selected as monitor node in AON, is proposed subsequently. Two problems are addressed in this research study regards the crosstalk attack localisation under sparse monitoring in AON, namely the determination of placement of monitoring device in a network by the use of Greedy Monitor Placement Algorithm and the subsequent development of the identification and localisation algorithm of multiple crosstalk attack in AON. The use of sparse monitoring for crosstalk attack localisation in AON significantly reduces the cost of equipping all nodes with monitoring device. Lastly, to demonstrate the robustness of the proposed algorithms, a worst­case scenario where all­to­all connections are assumed to contaminate with crosstalk in all the nodes in a network. The proposed algorithms are tested in several networks with different attacks.
format Thesis
qualification_level Master's degree
author Siew, Hong Wei
author_facet Siew, Hong Wei
author_sort Siew, Hong Wei
title Algorithms for localisation of crosstalk attacks in All­Optical Network
title_short Algorithms for localisation of crosstalk attacks in All­Optical Network
title_full Algorithms for localisation of crosstalk attacks in All­Optical Network
title_fullStr Algorithms for localisation of crosstalk attacks in All­Optical Network
title_full_unstemmed Algorithms for localisation of crosstalk attacks in All­Optical Network
title_sort algorithms for localisation of crosstalk attacks in all­optical network
granting_institution Multimedia University
granting_department Faculty of Computing and Informatics
publishDate 2013
_version_ 1747829625313034240