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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Bibliographic Details
Main Author:	Alieyan, Kamal Ibrahim Ahmed
Format:	Thesis
Language:	English
Published:	2018
Subjects:	QA75.5-76.95 Electronic computers Computer science
Online Access:	http://eprints.usm.my/43654/1/KAMAL%20IBRAHIM%20AHMED%20ALIEYAN.pdf
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id	my-usm-ep.43654
record_format	uketd_dc
spelling	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
institution	Universiti Sains Malaysia
collection	USM Institutional Repository
language	English
topic	QA75.5-76.95 Electronic computers Computer science
spellingShingle	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

Rule-Based Approach For Detecting Botnet Based On Domain Name System

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