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The Android malware handbook : manual analysis and ML-based detection
Title
The Android malware handbook : manual analysis and ML-based detection / Qian Han, Sai Deep Tetali, Salvador Mandujano, Sebastian Porst, V.S. Subrahmanian, Yanhai Xiong.
ISBN
1718503318
9781718503311
9781718503304
Publication
San Francisco : No Starch Press, [2024]
Physical Description
1 online resource
Local Notes
Access is available to the Yale community.
Notes
Includes index.
Description based on print version record and CIP data provided by publisher; resource not viewed.
Access and use
Access restricted by licensing agreement.
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.
Variant and related titles
O'Reilly Safari. OCLC KB.
Other formats
Print version: Han, Qian Android malware handbook San Francisco : No Starch Press, [2024]
Format
Books / Online
Language
English
Added to Catalog
February 14, 2024
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.
Subjects
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