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A new system call classification of mobile malwares for SMS exploitation

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dc.contributor.affiliationsFaculty of Science and Technology
dc.contributor.affiliationsUniversiti Sains Islam Malaysia (USIM)
dc.contributor.authorZaizi N.J.M.en_US
dc.contributor.authorSaudi M.M.en_US
dc.date.accessioned2024-05-28T08:37:19Z
dc.date.available2024-05-28T08:37:19Z
dc.date.issued2017
dc.description.abstractAndroid mobile devices are used for various applications. Online banking and shopping are increasingly being performed on smartphones. As the role of smartphones in business grows, the floodgates have opened mobile devices to malware threats, which can be exploited for malicious purposes. Mobile malware is growing in sophistication and continues to target consumers. Consumers are charged without affirmative consent. As a solution to this challenge, we proposed a system call classification based on surveillance exploitation system calls for SMS. The proposed system calls classification is evaluated and tested using applications from Google Play Store. This research focuses on Android operating system. The experiment was conducted using Drebin dataset which contains 5560 malware applications. Dynamic analysis was used to extract the system calls from each application in a controlled lab environment. This research has developed a new mobile malware classification for Android smartphone using a covering algorithm. The classification has been evaluated in 500 applications and 126 applications have been identified to contain malware. � 2017 American Scientific Publishers All rights reserved.
dc.description.natureFinalen_US
dc.identifier.doi10.1166/asl.2017.8919
dc.identifier.epage4569
dc.identifier.issn19366612
dc.identifier.issue5
dc.identifier.scopus2-s2.0-85023782042
dc.identifier.spage4565
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85023782042&doi=10.1166%2fasl.2017.8919&partnerID=40&md5=26cc4b4c5bc930034c71c8704a92c4d7
dc.identifier.urihttps://oarep.usim.edu.my/handle/123456789/9182
dc.identifier.volume23
dc.languageEnglish
dc.language.isoen_US
dc.publisherAmerican Scientific Publishersen_US
dc.relation.ispartofAdvanced Science Letters
dc.sourceScopus
dc.subjectAndroiden_US
dc.subjectBig dataen_US
dc.subjectCovering algorithmen_US
dc.subjectData classificationen_US
dc.subjectMobile malwareen_US
dc.titleA new system call classification of mobile malwares for SMS exploitation
dc.typeArticleen_US
dspace.entity.typePublication

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