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Welcome to the official GitHub repository of the Android Malware Handbook, a 2023 No Starch Press book about Android malware analysis and detection written by Qian Han, Salvador Mandujano, Sebastian Porst, V.S. Subrahmanian, Sai Deep Tetali, and Yanhai Xiong.
Android Malware Detection Using Machine Learning Classifiers ( Using Permissions requested by Apps)
Papers, code and datasets about deep learning for Android malware defenses and malware detection
29 Ιαν 2024 · Android malware analysis is a critical aspect of cybersecurity focused on understanding, identifying, and mitigating malicious software specifically designed for Android operating systems.
23 Μαρ 2021 · This survey converges on Android malware and covers a walkthrough of the various obfuscation attacks deployed during malware analysis phase along with the myriad of adversarial attacks...
This groundbreaking guide to Android malware distills years of research by machine learning experts in academia and members of Meta and Google’s Android Security teams into a comprehensive introduction to detecting common threats facing the Android eco-system today.
19 Αυγ 2019 · Researchers and malware analysts analyze the malicious Android applications using the application code, features, behaviour and other related functionality. Various efforts for detecting and analyzing mobile malware have been made that help in reducing the overall malware impact.
