Mohd Saudi M.Amran L.Ridzuan F.2024-05-292024-05-292020Mohd 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_921954356https://doi.org/10.1007/978-981-13-8323-6_92-s2.0-85067666478https://www.scopus.com/inward/record.uri?eid=2-s2.0-85067666478&doi=10.1007%2f978-981-13-8323-6_9&partnerID=40&md5=c878a7f8c57f18d59181ce33f6a2aafbhttps://link.springer.com/chapter/10.1007%2F978-981-13-8323-6_9https://oarep.usim.edu.my/handle/123456789/10216RITA 2018 pp 101-116Nowadays, 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-USArticle101116