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"--

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Bibliographic Details
Main Authors: Han, Qian (Author), Tetali, Sai Deep (Author), Mandujano, Salvador (Author), Porst, Sebastian (Author), Subrahmanian, V. S. (Author), Xiong, Yanhai (Author)
Format: Electronic eBook
Language:English
Published: San Francisco No Starch Press [2024]
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Links:https://learning.oreilly.com/library/view/-/9781098168575/?ar
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"--
Item Description:Includes index. - Description based on print version record and CIP data provided by publisher; resource not viewed
Physical Description:1 Online-Ressource
ISBN:1718503318
9781718503311