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The Android Malware Handbook: Using Manual Analysis and ML-Based Detection by Qi
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eBay item number:395171300814
Item specifics
- Condition
- Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See all condition definitionsopens in a new window or tab
- ISBN-13
- 9781718503304
- Book Title
- The Android Malware Handbook
- ISBN
- 9781718503304
- Publication Year
- 2023
- Type
- Textbook
- Format
- Trade Paperback
- Language
- English
- Publication Name
- Android Malware Handbook : Detection and Analysis by Human and Machine
- Item Height
- 0.9in
- Item Length
- 9.3in
- Publisher
- No Starch Press, Incorporated
- Item Width
- 7in
- Item Weight
- 23 Oz
- Number of Pages
- 328 Pages
About this product
Product Information
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 comprehensive guide to Android malware introduces current threats facing the world's most widely used operating system. After exploring the history of attacks seen in the wild since the time Android first launched, including several malware families previously absent from the literature, you'll practice static and dynamic approaches to analyzing real malware specimens. Next, you'll examine the machine-learning techniques used to detect malicious apps, the types of classification models that defenders can use, and the various features of malware specimens that can become input to these models. You'll then adapt these machine-learning strategies to the identification of malware categories like banking trojans, ransomware, and SMS fraud. You'll learn: How historical Android malware can elevate your understanding of current threats How to manually identify and analyze current Android malware using static and dynamic reverse-engineering tools How machine-learning algorithms can analyze thousands of apps to detect malware at scale
Product Identifiers
Publisher
No Starch Press, Incorporated
ISBN-10
171850330x
ISBN-13
9781718503304
eBay Product ID (ePID)
17060726815
Product Key Features
Publication Name
Android Malware Handbook : Detection and Analysis by Human and Machine
Format
Trade Paperback
Language
English
Publication Year
2023
Type
Textbook
Number of Pages
328 Pages
Dimensions
Item Length
9.3in
Item Height
0.9in
Item Width
7in
Item Weight
23 Oz
Additional Product Features
Lc Classification Number
Qa76.774.A53h36 2024
Reviews
"A comprehensive introduction to Android malware and its analysis." --Maik Morgenstern, CTO at AV-TEST "An indispensable resource for both security professionals and enthusiasts, offering unparalleled insights into the intricacies of Android malware and empowering readers to effectively guard against this pervasive threat." --Dimitrios Valsamaras, Senior Security Researcher at Microsoft (formerly worked on Android at Google)
Table of Content
Foreword Introduction Part 1: A Primer on Android Malware Chapter 1: Introduction to Android Security Chapter 2: Android Malware in the Wild Part 2: Manual Analysis Chapter 3: Static Analysis Chapter 4: Dynamic Analysis Part 3: Machine Learning Detection Chapter 5: Machine Learning Fundamentals Chapter 6: Machine Learning Features Chapter 7: Rooting Malware Chapter 8: Spyware Chapter 9: Banking Trojans Chapter 10: Ransomware Chapter 11: SMS Fraud Chapter 12: The Future of Android Malware Index
Topic
Operating Systems / Android, Security / Viruses & Malware, General
Lccn
2023-024979
Dewey Decimal
005.88
Intended Audience
Trade
Dewey Edition
23
Illustrated
Yes
Genre
Computers, Mathematics
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eBay item number:395171300814
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