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Deep Learning for Android Malware Defenses: A Systematic Literature Review
ACM Computing Surveys, 2023, Chakkrit Tantithamthavorn, Yepang Liu
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Android Source Code Vulnerability Detection: A Systematic Literature Review
ACM Computing Surveys, 2023Janaka Senanayake +2 more
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Android malware classification using optimum feature selection and ensemble machine learning
Internet of Things and Cyber-physical Systems, 2023exaly
ML for Android Malware Detection
The past few years have witnessed the drastic increase of mobile apps providing various facilities for personal andbusiness use. The proliferation of mobile apps is due to billions of users who enable developers to earn revenue throughadvertisements, in-app purchases, etc. Whenever users install a new app, they are under the risk of installing malware.openaire +1 more source
A Survey on Various Threats and Current State of Security in Android Platform
ACM Computing Surveys, 2020Parnika Bhat
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A survey of malware detection in Android apps: Recommendations and perspectives for future research
Computer Science Review, 2021Raphaël Khoury +2 more
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Android Security: A Survey of Issues, Malware Penetration, and Defenses
IEEE Communications Surveys and Tutorials, 2015Vijay Laxmi, Mauro Conti
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Android HIV: A Study of Repackaging Malware for Evading Machine-Learning Detection
IEEE Transactions on Information Forensics and Security, 2020Xiao Chen, Derui Wang, Sheng Wen
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DL-Droid: Deep learning based android malware detection using real devices
Computers and Security, 2020Mohammed K Alzaylaee +2 more
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