Publication:
Mobile malware call logs classification based on android package index (API)

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dc.contributor.affiliationsIslamic Science Institute
dc.contributor.affiliationsFaculty of Science and Technology
dc.contributor.affiliationsUniversiti Sains Islam Malaysia (USIM)
dc.contributor.authorSaudi M.M.en_US
dc.contributor.authorIsmail A.A.en_US
dc.contributor.authorRidzuan F.en_US
dc.date.accessioned2024-05-28T08:29:08Z
dc.date.available2024-05-28T08:29:08Z
dc.date.issued2018
dc.description.abstractIn the cyber world, the trend whereby cybercriminals exploit smartphone vulnerabilities to obtain confidential information or make financial gain is becoming more common. They inject the mobile application with malicious code to exploit the victim�s smartphone. Moreover, they exploit mobile platforms, in particular, the Android operating system, using mobile malware, without the victim�s consent. To combat this problem, this paper presents a new mobile malware call logs classification based on the Android Package Index (API). This new classification is designed to efficiently detect mobile malware attacks. The experiment was conducted in a controlled lab environment by integrating static analysis and Knowledge Data Discovery (KDD) for data cleaning, transformation, and analysis. The dataset is reverse engineered using static analysis. The data consisted of 5,560 samples from Drebin as the training dataset and 500 samples from the Google Play Store for the testing. As a result, thirty-two mobile applications from the Google Play store matched with the proposed classification for call log exploitation. The proposed call log exploitation classification can be used as a reference for other researchers with the same interest and can be further explored as the input for the formation of a mobile malware detection model. � School of Engineering, Taylor�s University.
dc.description.natureFinalen_US
dc.identifier.epage161
dc.identifier.issn18234690
dc.identifier.issueSpecial Issue on ICCSIT 2018
dc.identifier.scopus2-s2.0-85057117436
dc.identifier.spage152
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85057117436&partnerID=40&md5=72eff52f58659bd9bd0958d279efbb65
dc.identifier.urihttps://oarep.usim.edu.my/handle/123456789/8889
dc.identifier.volume13
dc.languageEnglish
dc.language.isoen_USen_US
dc.publisherTaylor's Universityen_US
dc.relation.ispartofJournal of Engineering Science and Technology
dc.sourceScopus
dc.subjectAndroid package indexen_US
dc.subjectCall exploitationen_US
dc.subjectKnowledge data discoveryen_US
dc.subjectMobile malware classificationen_US
dc.subjectStatic analysisen_US
dc.titleMobile malware call logs classification based on android package index (API)en_US
dc.typeArticleen_US
dspace.entity.typePublication

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