Rule-Based Approach For Detecting Botnet Based On Domain Name System
Botnets are a serious problem in today’s Internet, and they result in economic damage for organizations and individuals. Botnets consist of thousands of infected hosts that receive instructions from command and control (C&C) servers operated by an individual. Traditionally, Internet Relay Chat (...
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my-usm-ep.436542019-04-12T05:24:51Z Rule-Based Approach For Detecting Botnet Based On Domain Name System 2018-04 Alieyan, Kamal Ibrahim Ahmed QA75.5-76.95 Electronic computers. Computer science Botnets are a serious problem in today’s Internet, and they result in economic damage for organizations and individuals. Botnets consist of thousands of infected hosts that receive instructions from command and control (C&C) servers operated by an individual. Traditionally, Internet Relay Chat (IRC) servers are used as C&C servers and communicate with the botnet through IRC channels. As a result, network administrators often block IRC traffic on their networks. Recent trends in botnet development have seen the use of alternative communication channels, such as domain name server (DNS), between the C&C servers and infected hosts (bots). 2018-04 Thesis http://eprints.usm.my/43654/ http://eprints.usm.my/43654/1/KAMAL%20IBRAHIM%20AHMED%20ALIEYAN.pdf application/pdf en public phd doctoral Universiti Sains Malaysia Pusat IPv6 Termaju Negara |
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Universiti Sains Malaysia |
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USM Institutional Repository |
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English |
topic |
QA75.5-76.95 Electronic computers Computer science |
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QA75.5-76.95 Electronic computers Computer science Alieyan, Kamal Ibrahim Ahmed Rule-Based Approach For Detecting Botnet Based On Domain Name System |
description |
Botnets are a serious problem in today’s Internet, and they result in economic damage for organizations and individuals. Botnets consist of thousands of infected hosts that receive instructions from command and control (C&C) servers operated by an individual. Traditionally, Internet Relay Chat (IRC) servers are used as C&C servers and communicate with the botnet through IRC channels. As a result, network administrators often block IRC traffic on their networks. Recent trends in botnet development have seen the use of alternative communication channels, such as domain name server (DNS), between the C&C servers and infected hosts (bots). |
format |
Thesis |
qualification_name |
Doctor of Philosophy (PhD.) |
qualification_level |
Doctorate |
author |
Alieyan, Kamal Ibrahim Ahmed |
author_facet |
Alieyan, Kamal Ibrahim Ahmed |
author_sort |
Alieyan, Kamal Ibrahim Ahmed |
title |
Rule-Based Approach For Detecting Botnet Based On Domain Name System |
title_short |
Rule-Based Approach For Detecting Botnet Based On Domain Name System |
title_full |
Rule-Based Approach For Detecting Botnet Based On Domain Name System |
title_fullStr |
Rule-Based Approach For Detecting Botnet Based On Domain Name System |
title_full_unstemmed |
Rule-Based Approach For Detecting Botnet Based On Domain Name System |
title_sort |
rule-based approach for detecting botnet based on domain name system |
granting_institution |
Universiti Sains Malaysia |
granting_department |
Pusat IPv6 Termaju Negara |
publishDate |
2018 |
url |
http://eprints.usm.my/43654/1/KAMAL%20IBRAHIM%20AHMED%20ALIEYAN.pdf |
_version_ |
1747821255733542912 |