Cooperative network behaviour analysis model for mobile Botnet detection

Behavioral research; Industrial electronics; Malware; Mobile devices; Mobile security; Botnet detections; BYOD Security; Command and control; Mobile HTTP Botnet; Periodic pattern; HTTP

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Bibliographic Details
Main Authors: Eslahi M., Yousefi M., Naseri M.V., Yussof Y.M., Tahir N.M., Hashim H.
Other Authors: 55639528700
Format: Conference Paper
Published: Institute of Electrical and Electronics Engineers Inc. 2023
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Institution: Universiti Tenaga Nasional
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spelling my.uniten.dspace-226562023-05-29T14:11:30Z Cooperative network behaviour analysis model for mobile Botnet detection Eslahi M. Yousefi M. Naseri M.V. Yussof Y.M. Tahir N.M. Hashim H. 55639528700 53985756300 56463729100 35093577700 56168849900 16021805400 Behavioral research; Industrial electronics; Malware; Mobile devices; Mobile security; Botnet detections; BYOD Security; Command and control; Mobile HTTP Botnet; Periodic pattern; HTTP Recently, the mobile devices are well integrated with Internet and widely used by normal users and organizations which employ Bring Your Own Device technology. On the other hand, the mobile devices are less protected in comparison to computers. Therefore, the mobile devices and networks have now become attractive targets for attackers. Amongst several types of mobile threats, the mobile HTTP Botnets can be considered as one of the most sophisticated attacks. A HTTP Bots stealthily infect mobile devices and periodically communicate with their controller called Botmaster. Although the Bots hide their activities amongst the normal web flows, their periodic pattern has been used as a measure to detect their activities. In this paper we propose a cooperative network behaviour analysis model to identify the level of periodicity posed by mobile Bots. Finally three metrics is proposed to detect Mobile HTTP Botnets based on similarity and correlation of their group activities. Test results show that the propose model can efficiently classify communication patterns into several periodicity categories and detect mobile Botnets. � 2016 IEEE. Final 2023-05-29T06:11:30Z 2023-05-29T06:11:30Z 2016 Conference Paper 10.1109/ISCAIE.2016.7575046 2-s2.0-84992034514 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84992034514&doi=10.1109%2fISCAIE.2016.7575046&partnerID=40&md5=f2e5a02bdef0827f24f13571e01e6409 https://irepository.uniten.edu.my/handle/123456789/22656 7575046 107 112 Institute of Electrical and Electronics Engineers Inc. Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description Behavioral research; Industrial electronics; Malware; Mobile devices; Mobile security; Botnet detections; BYOD Security; Command and control; Mobile HTTP Botnet; Periodic pattern; HTTP
author2 55639528700
author_facet 55639528700
Eslahi M.
Yousefi M.
Naseri M.V.
Yussof Y.M.
Tahir N.M.
Hashim H.
format Conference Paper
author Eslahi M.
Yousefi M.
Naseri M.V.
Yussof Y.M.
Tahir N.M.
Hashim H.
spellingShingle Eslahi M.
Yousefi M.
Naseri M.V.
Yussof Y.M.
Tahir N.M.
Hashim H.
Cooperative network behaviour analysis model for mobile Botnet detection
author_sort Eslahi M.
title Cooperative network behaviour analysis model for mobile Botnet detection
title_short Cooperative network behaviour analysis model for mobile Botnet detection
title_full Cooperative network behaviour analysis model for mobile Botnet detection
title_fullStr Cooperative network behaviour analysis model for mobile Botnet detection
title_full_unstemmed Cooperative network behaviour analysis model for mobile Botnet detection
title_sort cooperative network behaviour analysis model for mobile botnet detection
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2023
_version_ 1806426041555615744