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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| Format: | Final Year Project (FYP) |
| Language: | English |
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2018
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| Online Access: | http://hdl.handle.net/10356/75430 |
| _version_ | 1826112872303820800 |
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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. |
| first_indexed | 2024-10-01T03:14:12Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/75430 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T03:14:12Z |
| publishDate | 2018 |
| record_format | dspace |
| 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 |