The android malware handbook : manual analysis and ML-based detection
- San Francisco : No starch Press, 2023
- xxvi, 298 p. ; ill. (some b & w), 24 cm.
Includes index.
Explores the history of Android attacks and covers static and dynamic approaches to analyzing real malware specimens, machine-learning techniques to detect malicious apps, and how to identify banking trojans, ransomware, and SMS fraud.
9781718503304
Android XGBoost Wireshark Uses-permission Two-factor authentication Spyware Rooting malware Reverse engineers Ransomware Privilege escalation Manifest file JSON JavaScript Decision tree Command-and-control server Click fraud API package Malware Security measure