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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| Format: | Thesis |
| Language: | English |
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2018
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| Online Access: | http://eprints.usm.my/43654/ http://eprints.usm.my/43654/1/KAMAL%20IBRAHIM%20AHMED%20ALIEYAN.pdf |
| _version_ | 1848879864470306816 |
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| author | Alieyan, Kamal Ibrahim Ahmed |
| author_facet | Alieyan, Kamal Ibrahim Ahmed |
| author_sort | Alieyan, Kamal Ibrahim Ahmed |
| building | USM Institutional Repository |
| collection | Online Access |
| 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). |
| first_indexed | 2025-11-15T17:54:00Z |
| format | Thesis |
| id | usm-43654 |
| institution | Universiti Sains Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T17:54:00Z |
| publishDate | 2018 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | usm-436542019-04-12T05:24:51Z http://eprints.usm.my/43654/ Rule-Based Approach For Detecting Botnet Based On Domain Name System 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 NonPeerReviewed application/pdf en http://eprints.usm.my/43654/1/KAMAL%20IBRAHIM%20AHMED%20ALIEYAN.pdf Alieyan, Kamal Ibrahim Ahmed (2018) Rule-Based Approach For Detecting Botnet Based On Domain Name System. PhD thesis, Universiti Sains Malaysia. |
| spellingShingle | QA75.5-76.95 Electronic computers. Computer science Alieyan, Kamal Ibrahim Ahmed Rule-Based Approach For Detecting Botnet Based On Domain Name System |
| title | 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_short | Rule-Based Approach For Detecting Botnet Based On Domain Name System |
| title_sort | rule-based approach for detecting botnet based on domain name system |
| topic | QA75.5-76.95 Electronic computers. Computer science |
| url | http://eprints.usm.my/43654/ http://eprints.usm.my/43654/1/KAMAL%20IBRAHIM%20AHMED%20ALIEYAN.pdf |