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Go-Detect Application Inspired by Apoptosis to Detect SMS Exploitation by Malwares

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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.authorMohd Saudi M.en_US
dc.contributor.authorAmran L.en_US
dc.contributor.authorRidzuan F.en_US
dc.date.accessioned2024-05-29T02:02:28Z
dc.date.available2024-05-29T02:02:28Z
dc.date.issued2020
dc.descriptionRITA 2018 pp 101-116en_US
dc.description.abstractNowadays, malware attack mobile phone compared to the computer due to its mobility and extensive usage. The users are being exposed with sophisticated threats that lead to loss of money and confidential information. These threats are inferred by malwares that exploit the mobile applications (apps) vulnerabilities. Five surveillance features in a mobile phone commonly used by the malwares includes Short Message Service (SMS), call log, Global Positioning System (GPS), camera and audio. This paper focuses on the SMS feature and presents a mobile apps called as Go-Detect inspired by Apoptosis to detect SMS exploitation by malwares. There are 16 new SMS Android Package Index (API) classifications that have been developed and used as the input for this app. Apoptosis or known as cell-programmed-death is a concept borrowed from human immunology that has been integrated in this app. It will uninstall and delete the infected apps that matched with the proposed classifications. A total of 5560 Drebin dataset has been used as the training dataset and reverse engineered using static analysis in a controlled lab environment. This app is built by using JAVA. Based on the testing conducted with 50 anonymous mobile apps from the Google Play store, 36% matched with the proposed classification. This new classification and apps can be used as the reference and basis for other researchers to detect malware in a mobile phone.en_US
dc.description.natureFinal
dc.identifier.citationMohd Saudi M., Amran L., Ridzuan F. (2020) Go-Detect Application Inspired by Apoptosis to Detect SMS Exploitation by Malwares. In: P. P. Abdul Majeed A., Mat-Jizat J., Hassan M., Taha Z., Choi H., Kim J. (eds) RITA 2018. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-13-8323-6_9en_US
dc.identifier.doihttps://doi.org/10.1007/978-981-13-8323-6_9
dc.identifier.epage116
dc.identifier.issn21954356
dc.identifier.scopus2-s2.0-85067666478
dc.identifier.spage101
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85067666478&doi=10.1007%2f978-981-13-8323-6_9&partnerID=40&md5=c878a7f8c57f18d59181ce33f6a2aafb
dc.identifier.urihttps://link.springer.com/chapter/10.1007%2F978-981-13-8323-6_9
dc.identifier.urihttps://oarep.usim.edu.my/handle/123456789/10216
dc.languageEnglish
dc.language.isoen_USen_US
dc.publisherSpringer Nature Singapore Pte Ltd.en_US
dc.relation.ispartofLecture Notes in Mechanical Engineeringen_US
dc.sourceScopus
dc.titleGo-Detect Application Inspired by Apoptosis to Detect SMS Exploitation by Malwaresen_US
dc.typeArticleen_US
dspace.entity.typePublication

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