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The Android Malware Handbook_ Detection And Analysis By Human And Machine PDF

TORRENT SUMMARY

	Status:	All the torrents in this section have been verified by our verification system
Category:	eBooks
Infohash	bb6227111a158636747dbeaa477959e4c9e3cb29
Size:	14.6 MB in 2 files
Release Date(s):	Torrent Release: 04-12-2023 by user
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DESCRIPTION

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The Android Malware Handbook: Detection and Analysis by Human and Machine PDF

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 identification 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

The Android Malware Handbook’s team of expert authors will guide you through the Android threat landscape and prepare you for the next wave of malware to come.

Table of Contents

Part I. A PRIMER ON ANDROID MALWARE

1. The Basics of Android Security

2. Android Malware in the Wild

Part II. MANUAL ANALYSIS

3. Static Analysis

4. Dynamic Analysis

Part III. MACHINE LEARNING DETECTION

5. Machine Learning Fundamentals

6. Machine Learning Features

7. Rooting Malware

8. Spyware

9. Banking Trojans

10. Ransomware

11. SMS Fraud

12. The Future of Android Malware

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Filename		Size
	The Android Malware Handbook_ Detection and Analysis by Human and Machine.pdf	14.6 MB
	_ uploads will cease (your support needed - urgent - goal).txt	747 B

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