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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Bibliographische Detailangaben
Beteiligte Personen: Han, Qian (VerfasserIn), Tetali, Sai Deep (VerfasserIn), Mandujano, Salvador (VerfasserIn), Porst, Sebastian (VerfasserIn), Subrahmanian, V. S. (VerfasserIn), Xiong, Yanhai (VerfasserIn)
Format: Elektronisch E-Book
Sprache:Englisch
Veröffentlicht: San Francisco No Starch Press [2024]
Schlagwörter:
Links:https://learning.oreilly.com/library/view/-/9781098168575/?ar
Zusammenfassung:"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"--
Beschreibung:Includes index. - Description based on print version record and CIP data provided by publisher; resource not viewed
Umfang:1 Online-Ressource
ISBN:1718503318
9781718503311