Han, Qian
The Android Malware Handbook: Using Manual Analysis and ML-Based Detection
- ISBN 13:
- 9781718503304
- author:
- Han, Qian
- format:
- Paperback
- publisher:
- No Starch Press
- language:
- English
- Publication Year:
- 2023
- Pages:
- 328
- Dimensions:
- 23.4 x 17.5 x 2.3 centimetres (0
- Genre:
- Computers, Special Topics, Viruses,
- Condition:
- New
- Availability:
- Item usually sent within 10 working days
Description
The Android Malware Handbook: Detection and Analysis by Human and Machine Discover the latest techniques for detecting and analyzing malware that targets the Android operating system. Written by experts in machine learning and Android security, this comprehensive guide covers the history of Android malware, static and dynamic analysis methods, and machine learning algorithms for detection. You'll learn how to extract features from real malware specimens, master machine learning algorithms, and survey the efficacy of these techniques against common Android malware categories. With a focus on practical approaches, this handbook is ideal for security professionals, researchers, and anyone looking to stay ahead in the fight against Android malware. By exploring the source code of real malware and adapting machine learning strategies to identify specific types of threats, you'll gain a deeper understanding of the Android threat landscape and be prepared for the next wave of malware.
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