Monitoring the spreading of infection in complex network

With the advance technology involving nowadays, computer networks are growing rapidly everywhere in terms of processing and speed, this allows data to be processed and sent to each other extremely fast, with this technology, hackers introduced various infectious virus and diseases to cripple the net...

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Main Author: Loh, Mun Whye
Other Authors: Xiao Gaoxi
Format: Final Year Project
Language:English
Published: 2019
Subjects:
Online Access:http://hdl.handle.net/10356/78183
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-781832023-07-07T17:37:52Z Monitoring the spreading of infection in complex network Loh, Mun Whye Xiao Gaoxi School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering With the advance technology involving nowadays, computer networks are growing rapidly everywhere in terms of processing and speed, this allows data to be processed and sent to each other extremely fast, with this technology, hackers introduced various infectious virus and diseases to cripple the network. Compare to infectious diseases and virus in biological life, the spreading between humans and computer complex network and model is very similar, in this project, studies will be conducted on building a strong system by deploying a number of ‘honeypots’(similar to anti-virus) in computer networks to detect infectious virus with the lowest cost yet maximum efficiency. In this report, basic knowledge of complex network will be covered, which includes scale-free network and random network, various epidemic model will be introduced ( SI, SIS, SIR ) and discussed. Simulations will be done in Matlab, to observe the properties of a scale-free network, the differences between various model. Studies on the placement of detection nodes, and the differences between different reliabilities in detection. Bachelor of Engineering (Electrical and Electronic Engineering) 2019-06-13T03:03:23Z 2019-06-13T03:03:23Z 2019 Final Year Project (FYP) http://hdl.handle.net/10356/78183 en Nanyang Technological University 36 p, application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Electrical and electronic engineering
spellingShingle DRNTU::Engineering::Electrical and electronic engineering
Loh, Mun Whye
Monitoring the spreading of infection in complex network
description With the advance technology involving nowadays, computer networks are growing rapidly everywhere in terms of processing and speed, this allows data to be processed and sent to each other extremely fast, with this technology, hackers introduced various infectious virus and diseases to cripple the network. Compare to infectious diseases and virus in biological life, the spreading between humans and computer complex network and model is very similar, in this project, studies will be conducted on building a strong system by deploying a number of ‘honeypots’(similar to anti-virus) in computer networks to detect infectious virus with the lowest cost yet maximum efficiency. In this report, basic knowledge of complex network will be covered, which includes scale-free network and random network, various epidemic model will be introduced ( SI, SIS, SIR ) and discussed. Simulations will be done in Matlab, to observe the properties of a scale-free network, the differences between various model. Studies on the placement of detection nodes, and the differences between different reliabilities in detection.
author2 Xiao Gaoxi
author_facet Xiao Gaoxi
Loh, Mun Whye
format Final Year Project
author Loh, Mun Whye
author_sort Loh, Mun Whye
title Monitoring the spreading of infection in complex network
title_short Monitoring the spreading of infection in complex network
title_full Monitoring the spreading of infection in complex network
title_fullStr Monitoring the spreading of infection in complex network
title_full_unstemmed Monitoring the spreading of infection in complex network
title_sort monitoring the spreading of infection in complex network
publishDate 2019
url http://hdl.handle.net/10356/78183
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