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...
Saved in:
Main Author: | |
---|---|
Other Authors: | |
Format: | Final Year Project |
Language: | English |
Published: |
2019
|
Subjects: | |
Online Access: | http://hdl.handle.net/10356/78183 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
id |
sg-ntu-dr.10356-78183 |
---|---|
record_format |
dspace |
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 |
_version_ |
1772825391979823104 |