Evaluation of system resilience : a numerical approach

Scale-free network are very apparent in our daily lives. The Internet and many other networks are closely related to scale-free network. Scale-free network modelling can be very useful to simulate real life networks. Due to this similarity, simulation of scale-free network can translate to real life...

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Bibliographic Details
Main Author: Chan, Guo Jun
Other Authors: Xiao Gaoxi
Format: Final Year Project (FYP)
Language:English
Published: 2018
Subjects:
Online Access:http://hdl.handle.net/10356/75430
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author Chan, Guo Jun
author2 Xiao Gaoxi
author_facet Xiao Gaoxi
Chan, Guo Jun
author_sort Chan, Guo Jun
collection NTU
description Scale-free network are very apparent in our daily lives. The Internet and many other networks are closely related to scale-free network. Scale-free network modelling can be very useful to simulate real life networks. Due to this similarity, simulation of scale-free network can translate to real life results. Predictive model behavior and even theories can be put to the test through scale-free network simulation. In this paper, we will explore the construction of a scale-free network using Matlab and the robustness of a scale-free network. Robustness of a scale-free network will be tested with intentional attacks and random attacks. Improvements to the resilience of a scale-free network are also implemented. Random repair and random 2-hop repair methods are attempts to improve the robustness of the network under attack.
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spelling ntu-10356/754302023-07-07T17:04:48Z Evaluation of system resilience : a numerical approach Chan, Guo Jun Xiao Gaoxi School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems DRNTU::Engineering Scale-free network are very apparent in our daily lives. The Internet and many other networks are closely related to scale-free network. Scale-free network modelling can be very useful to simulate real life networks. Due to this similarity, simulation of scale-free network can translate to real life results. Predictive model behavior and even theories can be put to the test through scale-free network simulation. In this paper, we will explore the construction of a scale-free network using Matlab and the robustness of a scale-free network. Robustness of a scale-free network will be tested with intentional attacks and random attacks. Improvements to the resilience of a scale-free network are also implemented. Random repair and random 2-hop repair methods are attempts to improve the robustness of the network under attack. Bachelor of Engineering 2018-05-31T05:31:06Z 2018-05-31T05:31:06Z 2018 Final Year Project (FYP) http://hdl.handle.net/10356/75430 en Nanyang Technological University 30 p. application/pdf
spellingShingle DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
DRNTU::Engineering
Chan, Guo Jun
Evaluation of system resilience : a numerical approach
title Evaluation of system resilience : a numerical approach
title_full Evaluation of system resilience : a numerical approach
title_fullStr Evaluation of system resilience : a numerical approach
title_full_unstemmed Evaluation of system resilience : a numerical approach
title_short Evaluation of system resilience : a numerical approach
title_sort evaluation of system resilience a numerical approach
topic DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
DRNTU::Engineering
url http://hdl.handle.net/10356/75430
work_keys_str_mv AT changuojun evaluationofsystemresilienceanumericalapproach