The Android malware handbook manual analysis and ML-based detection
"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"--
| Main Authors: | , , , |
|---|---|
| Format: | eBook |
| Language: | English |
| Published: |
San Francisco
No Starch Press
2024
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| Subjects: | |
| Online Access: | |
| Collection: | O'Reilly - Collection details see MPG.ReNa |
Table of Contents:
- The basics of Android security
- Android malware in the wild
- Static analysis
- Dynamic analysis
- Machine learning fundamentals
- Machine learning features
- Rooting malware
- Spyware
- Banking trojans
- Ransomware
- SMS fraud
- The future of Android malware