The Android Malware Handbook
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The Android Malware Handbook: Using Manual Analysis and ML-Based Detection

The Android Malware Handbook: Using Manual Analysis and ML-Based Detection

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About the Book

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 analysing 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 analyse current Android malware using static and dynamic reverse-engineering tools; How machine-learning algorithms can analyse thousands of apps to detect malware at scale.

Table of Contents:
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


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Product Details
  • ISBN-13: 9781718503304
  • Publisher: No Starch Press,US
  • Publisher Imprint: No Starch Press,US
  • Height: 234 mm
  • No of Pages: 328
  • Sub Title: Using Manual Analysis and ML-Based Detection
  • ISBN-10: 171850330X
  • Publisher Date: 07 Nov 2023
  • Binding: Paperback
  • Language: English
  • Returnable: Y
  • Width: 177 mm


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The Android Malware Handbook: Using Manual Analysis and ML-Based Detection
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