Publication:
A new system call classification for android mobile malware surveillance exploitation via SMS message

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dc.Conferencecode160719
dc.Conferencedate9 June 2015 through 11 June 2015
dc.Conferencename2nd International Conference on Communication and Computer Engineering, ICOCOE 2015
dc.citedby3
dc.contributor.affiliationsUniversiti Sains Islam Malaysia (USIM)
dc.contributor.authorMohd Saudi M.en_US
dc.contributor.authorAbd Rahman M.Z.en_US
dc.contributor.authorMahmud A.A.en_US
dc.contributor.authorBasir N.en_US
dc.contributor.authorYusoff Y.S.en_US
dc.date.accessioned2024-05-29T01:55:18Z
dc.date.available2024-05-29T01:55:18Z
dc.date.issued2016
dc.description.abstractNowadays, Android has become the most widely used platform for smartphones. Due to the active used of smartphones, the floodgates of mobile malware threats are open every single day. Mobile malware harms users by illegally disable a mobile device, allowing malicious user to remotely control the device and steal personal information stored on the device. One of the surveillance features that attackers could abuse to gain those benefits is by exploiting the SMS message. Therefore, this paper introduces a new system call classification for SMS exploitation using a covering algorithm. The new system call classification can be used as a guidance to defend against mobile malware attacks. 1260 malware samples related to SMS exploitation from the Android Malware Genome Project have been analysed. The experiment was conducted using the dynamic analysis and open source tools in a controlled lab environment. � Springer International Publishing Switzerland 2016.
dc.description.natureFinalen_US
dc.editorSulaiman H.A.Othman M.A.Othman M.F.I.Rahim Y.A.Pee N.C.en_US
dc.identifier.doi10.1007/978-3-319-24584-3_10
dc.identifier.epage112
dc.identifier.isbn9783320000000
dc.identifier.issn18761100
dc.identifier.scopus2-s2.0-84955440511
dc.identifier.spage103
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84955440511&doi=10.1007%2f978-3-319-24584-3_10&partnerID=40&md5=9c3195c79fd3f4adde879430a3dfc310
dc.identifier.urihttps://oarep.usim.edu.my/handle/123456789/9672
dc.identifier.volume362
dc.languageEnglish
dc.language.isoen_USen_US
dc.publisherSpringer Verlagen_US
dc.relation.ispartofLecture Notes in Electrical Engineering
dc.sourceScopus
dc.subjectAndroiden_US
dc.subjectExploitationen_US
dc.subjectMalwareen_US
dc.subjectSmartphoneen_US
dc.subjectSMS messageen_US
dc.subjectStraceen_US
dc.subjectSurveillanceen_US
dc.subjectSystem callen_US
dc.subjectComputer crimeen_US
dc.subjectMalwareen_US
dc.subjectMobile devicesen_US
dc.subjectMonitoringen_US
dc.subjectSmartphonesen_US
dc.subjectSpace surveillanceen_US
dc.subjectAndroiden_US
dc.subjectExploitationen_US
dc.subjectSMS messagesen_US
dc.subjectStraceen_US
dc.subjectSystem callsen_US
dc.subjectAndroid (operating system)en_US
dc.titleA new system call classification for android mobile malware surveillance exploitation via SMS messageen_US
dspace.entity.typePublication

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