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A review: Static analysis of android malware and detection technique

Juliza, Mohamad Arif and Mohd Faizal, Ab Razak and Suryanti, Awang and Sharfah Ratibah, Tuan Mat and Nor Syahidatul Nadiah, Ismail and Ahmad, Firdaus (2021) A review: Static analysis of android malware and detection technique. In: 2021 International Conference on Software Engineering & Computer Systems and 4th International Conference on Computational Science and Information Management (ICSECS-ICOCSIM), 21-26 August 2021 , Pekan. pp. 1-6.. ISBN 978-1-6654-1407-4

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Android malware has become more widespread in recent years due to the growing popularity of Android mobile. Android malware is installed without the user’s consent on a mobile device and exhibits significant risks to users, including personal information disclosure and fraud. Furthermore, some malware may be hidden inside the mobile device using various obfuscation techniques and cause harm. To mitigate these risks, the researcher recommended a variety of detection techniques. Unfortunately, it remains challenging as Android malware continues to increase. Signature-based detection is currently used to detect malware, but unknown malware and the newest malware are not recognised in this approach. This demonstrates that developing an effective malware detection method is crucial, with an enormous gap in recent studies and methods. This study aims to present researchers with a review of Android malware detection methods and empirical findings, focusing on static analysis. The research discussed the trends of Android malware, Android vulnerabilities, static analysis approaches, and a summary of recent studies in static analysis. Additionally, future research guidelines in the static analysis are suggested to optimise the functionality of Android malware detection.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Android malware; android malware detection; static analysis
Subjects: Q Science > QA Mathematics > QA76 Computer software
Faculty/Division: Institute of Postgraduate Studies
Faculty of Computing
Depositing User: Ms. Ratna Wilis Haryati Mustapa
Date Deposited: 01 Nov 2021 02:47
Last Modified: 01 Nov 2021 02:47
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