The Android Malware Handbook Detection and Analysis by Human and Machine
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- Taschenbuch
- eBook ausgewählt
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Form:Einzelkauf Download
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Sprache:Englisch
Fr. 43.90
inkl. gesetzl. MwSt.Beschreibung
Produktdetails
Verkaufsrang
15444
Format
ePUB 3
Kopierschutz
Nein
Family Sharing
Ja
Text-to-Speech
Ja
Erscheinungsdatum
07.11.2023
Verlag
No Starch Press,USSeitenzahl
328 (Printausgabe)
Dateigröße
25997 KB
Sprache
Englisch
EAN
9781718503311
Written by machine-learning researchers and members of the Android Security team, this all-star guide tackles the analysis and detection of malware that targets the Android operating system. This groundbreaking guide to Android malware distills years of research by machine learning experts in academia and members of Meta and Google's Android Security teams into a comprehensive introduction to detecting common threats facing the Android eco-system today. Explore the history of Android malware in the wild since the operating system first launched and then practice static and dynamic approaches to analyzing real malware specimens. Next, examine machine learning techniques that can be used to detect malicious apps, the types of classification models that defenders can implement to achieve these detections, and the various malware features that can be used as input to these models. Adapt these machine learning strategies to the identifica-tion of malware categories like banking trojans, ransomware, and SMS fraud. You'll:
- Dive deep into the source code of real malware
- Explore the static, dynamic, and complex features you can extract from malware for analysis
- Master the machine learning algorithms useful for malware detection
- Survey the efficacy of machine learning techniques at detecting common Android malware categories
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