MPG.eBooks - Description: The Android malware handbook

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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"--

Bibliographic Details
Main Authors:	Han, Qian, Tetali, Sai Deep (Author), Mandujano, Salvador (Author), Porst, Sebastian (Author)
Format:	eBook
Language:	English
Published:	San Francisco No Starch Press 2024
Subjects:	Mobile Computing / Security Measures Machine Learning / Http://id.loc.gov/authorities/subjects/sh85079324 Logiciels Malveillants Malware (computer Software) / Http://id.loc.gov/authorities/subjects/sh2009005103 Operating Systems (computers) / Security Measures / Fast / (ocolc)fst01046289 Operating Systems (computers) / Security Measures Malware (computer Software) / Fast / (ocolc)fst01748230 Informatique Mobile / Sécurité / Mesures Apprentissage Automatique Android (electronic Resource) / Fast / (ocolc)fst01776064 Systèmes D'exploitation (ordinateurs) / Sécurité / Mesures Android (electronic Resource) / Http://id.loc.gov/authorities/names/n2009043077 Machine Learning / Fast / (ocolc)fst01004795
Online Access:	https://learning.oreilly.com/library/view/~/978109...
Collection:	O'Reilly - Collection details see MPG.ReNa

Description
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
Physical Description:	1 online resource
ISBN:	1718503318 9781718503311