Publication:
Mobile Botnet Detection: Proof of Concept

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dc.ConferencecodeIEEE, IEEE Control Syst Soc, Univ Teknologi Mara, Fac Elect Engn, Univ Teknologi Mara
dc.ConferencedateAUG 11-12, 2014
dc.ConferencelocationShah Alam, MALAYSIA
dc.Conferencename5th IEEE Control and System Graduate Research Colloquium (ICSGRC)
dc.contributor.authorAbdullah, Zen_US
dc.contributor.authorSaudi, MMen_US
dc.contributor.authorAnuar, NBen_US
dc.date.accessioned2024-05-29T02:55:58Z
dc.date.available2024-05-29T02:55:58Z
dc.date.issued2014
dc.description.abstractNowadays mobile devices such as smartphones had widely been used. People use smartphones not limited for phone calling or sending messages but also for web browsing, social networking and online banking transaction. To certain extend, all confidential information are kept in their smartphone. As a result, smartphones became as one of the cyber-criminal main target especially through an installation of mobile botnet. Eurograbber is an example of mobile botnet that being installed via infected mobile application without victim knowledge. It will pretense as mobile banking application software and steal financial transaction information from victim's smartphone. In 2012, Eurograbber had caused a total loss of USD 47 Million accumulatively all over the world. Based on the implications posed by this botnet, this is the urge where this research comes in. This paper presents a proof of concept on how the botnet works and the ongoing research to detect and respond to the mobile botnet efficiently. Detection of botnet malicious activity is done through an analysis of Crusewind Botnet code using reverse engineering process and static analysis technique.
dc.identifier.epage262
dc.identifier.scopusWOS:000361046800048
dc.identifier.spage257
dc.identifier.urihttps://oarep.usim.edu.my/handle/123456789/11560
dc.languageEnglish
dc.language.isoen_US
dc.publisherIEEEen_US
dc.relation.ispartof2014 Ieee 5th Control And System Graduate Research Colloquium (Icsgrc)
dc.sourceWeb Of Science (ISI)
dc.subjectsmartphonesen_US
dc.subjectmobile botneten_US
dc.subjectstatic analysisen_US
dc.subjectreverse engineeringen_US
dc.subjectinnate immune systemen_US
dc.titleMobile Botnet Detection: Proof of Concept
dc.typeProceedings Paperen_US
dspace.entity.typePublication

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