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The Android malware handbook : manual analysis and ML-based detection / Qian Han, Sai Deep Tetali, Salvador Mandujano, Sebastian Porst, V.S. Subrahmanian, Yanhai Xiong.
- Format:
- Book
- Author/Creator:
- Han, Qian (Research scientist), author.
- Tetali, Sai Deep, author.
- Mandujano, Salvador, author.
- Porst, Sebastian, author.
- Subrahmanian, V. S., author.
- Xiong, Yanhai, author.
- Language:
- English
- Subjects (All):
- Malware (Computer software).
- Operating systems (Computers)--Security measures.
- Operating systems (Computers).
- Mobile computing--Security measures.
- Mobile computing.
- Machine learning.
- Android (Electronic resource).
- Physical Description:
- 1 online resource
- Place of Publication:
- San Francisco : No Starch Press, [2024]
- Summary:
- "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"-- Provided by publisher.
- 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.
- Notes:
- OCLC-licensed vendor bibliographic record.
- Includes index.
- ISBN:
- 9781098168575
- 1098168577
- OCLC:
- 1393252259
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