Publication:
A New Mobile Malware Classification for Camera Exploitation based on System Call and Permission

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dc.ConferencecodeInt Assoc Engineers, IAENG, Soc Artificial Intelligence, IAENG, Soc Bioinformat, IAENG, Soc Comp Sci, IAENG, Soc Data Min, IAENG, Soc Elect Engn, IAENG, Soc HIV AIDS, IAENG, Soc Imag Engn, IAENG, Soc Ind Engn, IAENG, Soc Informat Syst Engn, IAENG, Soc internet Comp & Web Serv, IAENG, Soc Mech Engn, IAENG, Soc Operat Res, IAENG, Soc Sci Comp, IAENG, Soc Software Engn, IAENG, Soc Wireless Networks
dc.ConferencedateOCT 25-27, 2017
dc.ConferencelocationSan Francisco, CA
dc.ConferencenameWorld Congress on Engineering and Computer Science, WCES 2017
dc.contributor.authorSaudi, MMen_US
dc.contributor.authorZahari, LHen_US
dc.contributor.authorRidzuan, Fen_US
dc.contributor.authorBasir, Nen_US
dc.contributor.authorPitchay, SAen_US
dc.contributor.authorNabila, NFen_US
dc.date.accessioned2024-05-29T03:27:26Z
dc.date.available2024-05-29T03:27:26Z
dc.date.issued2017
dc.description.abstractCurrently, there are many attacks and exploitation to Android smartphones by the attackers all over the world. These attacks are based on profit and caused loss of money and productivity to the victim. This exploitation can be done via camera, SMS, call, audio, image or location exploitation by attacking the system call, permission or API inside the Android smartphone. Therefore, this paper presents 32 mobile malware classification based on system call and permission to detect camera exploitation for Android smartphone. The experiment was conducted in a controlled lab environment, by applying reverse engineering with 5560 training dataset from Drebin, where both static and dynamic analyses were used to identify and extract the permission and system call from the mobile applications (apps). These 32 classification have been evaluated with 500 mobile apps from Google Play Store and 19 mobile apps matched with the classification. This new classification can be used as the database and input for the development of new mobile malware detection model for camera exploitation.
dc.identifier.epage100
dc.identifier.issn2078-0958
dc.identifier.scopusWOS:000418106200020
dc.identifier.spage95
dc.identifier.urihttps://oarep.usim.edu.my/handle/123456789/12213
dc.languageEnglish
dc.language.isoen_US
dc.publisherInt Assoc Engineers-Iaengen_US
dc.relation.ispartofWorld Congress On Engineering And Computer Science, Wcecs 2017, Vol I
dc.sourceWeb Of Science (ISI)
dc.subjectAndroiden_US
dc.subjectcamera exploitationen_US
dc.subjectmobile malwareen_US
dc.subjectpermissionen_US
dc.subjectsystem callen_US
dc.titleA New Mobile Malware Classification for Camera Exploitation based on System Call and Permission
dc.typeProceedings Paperen_US
dspace.entity.typePublication

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