The Android Malware Handbook Qian Han Salvador Mandujano Sebastian Porst Vs Subrahmanian Sai Deep Tetali Yanhai Xiong by Qian Han & Salvador Mandujano & Sebastian Porst & V.s. Subrahmanian & Sai Deep Tetali & Yanhai Xiong instant download after payment.

Written by machine-learning researchers and members of the Android Security team, this all-star guide tackles the analysis and detection of malware that targets the Android operating system.
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.
Explore the history of Android malware in the wild since the operating system first launched and then practice static and dynamic approaches to analyzing real malware specimens. Next, examine machine learning techniques that can be used to detect malicious apps, the types of classification models that defenders can implement to achieve these detections, and the various malware features that can be used as input to these models. Adapt these machine learning strategies to the identifica-tion of malware categories...