Mobile banking Trojan detection using Naive Bayes / Anis Athirah Masmuhallim

Mobile phones have become immensely popular as intelligent terminals worldwide. The open-source nature of mobile platforms has facilitated the development of third- party mobile applications, but it has also created an environment for mobile malware to thrive. Unfortunately, the abundance of mobile...

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主要作者: Masmuhallim, Anis Athirah
格式: Thesis
語言:English
出版: 2024
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在線閱讀:https://ir.uitm.edu.my/id/eprint/96315/1/96315.pdf
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spelling my-uitm-ir.963152024-06-04T07:20:33Z Mobile banking Trojan detection using Naive Bayes / Anis Athirah Masmuhallim 2024 Masmuhallim, Anis Athirah Algorithms Mobile phones have become immensely popular as intelligent terminals worldwide. The open-source nature of mobile platforms has facilitated the development of third- party mobile applications, but it has also created an environment for mobile malware to thrive. Unfortunately, the abundance of mobile applications and lax management of some app stores has led to potential risks for mobile users, including privacy breaches and malicious deductions of fees, among other adverse consequences. This research presents a mobile malware static detection method based on Naive Bayes. The approach aims to offer a solution to protect users from potential threats such as Banking Trojan malware. The objectives of this project are to study the requirement of the Naive Bayes algorithm in Mobile Banking Trojan detection, to develop a webbased detection system for Mobile Banking Trojan using Naive Bayes, and to evaluate the performance and accuracy of the Naive Bayes algorithm in the Mobile Banking Trojan detection. The methodology of this project consists of the research framework, preliminary study, design, development, and performance evaluation. 2024 Thesis https://ir.uitm.edu.my/id/eprint/96315/ https://ir.uitm.edu.my/id/eprint/96315/1/96315.pdf text en public degree Universiti Teknologi MARA, Terengganu College of Computing, Informatics and Mathematics Ismail, Najiahtul Syafiqah
institution Universiti Teknologi MARA
collection UiTM Institutional Repository
language English
advisor Ismail, Najiahtul Syafiqah
topic Algorithms
spellingShingle Algorithms
Masmuhallim, Anis Athirah
Mobile banking Trojan detection using Naive Bayes / Anis Athirah Masmuhallim
description Mobile phones have become immensely popular as intelligent terminals worldwide. The open-source nature of mobile platforms has facilitated the development of third- party mobile applications, but it has also created an environment for mobile malware to thrive. Unfortunately, the abundance of mobile applications and lax management of some app stores has led to potential risks for mobile users, including privacy breaches and malicious deductions of fees, among other adverse consequences. This research presents a mobile malware static detection method based on Naive Bayes. The approach aims to offer a solution to protect users from potential threats such as Banking Trojan malware. The objectives of this project are to study the requirement of the Naive Bayes algorithm in Mobile Banking Trojan detection, to develop a webbased detection system for Mobile Banking Trojan using Naive Bayes, and to evaluate the performance and accuracy of the Naive Bayes algorithm in the Mobile Banking Trojan detection. The methodology of this project consists of the research framework, preliminary study, design, development, and performance evaluation.
format Thesis
qualification_level Bachelor degree
author Masmuhallim, Anis Athirah
author_facet Masmuhallim, Anis Athirah
author_sort Masmuhallim, Anis Athirah
title Mobile banking Trojan detection using Naive Bayes / Anis Athirah Masmuhallim
title_short Mobile banking Trojan detection using Naive Bayes / Anis Athirah Masmuhallim
title_full Mobile banking Trojan detection using Naive Bayes / Anis Athirah Masmuhallim
title_fullStr Mobile banking Trojan detection using Naive Bayes / Anis Athirah Masmuhallim
title_full_unstemmed Mobile banking Trojan detection using Naive Bayes / Anis Athirah Masmuhallim
title_sort mobile banking trojan detection using naive bayes / anis athirah masmuhallim
granting_institution Universiti Teknologi MARA, Terengganu
granting_department College of Computing, Informatics and Mathematics
publishDate 2024
url https://ir.uitm.edu.my/id/eprint/96315/1/96315.pdf
_version_ 1804889985002766336