Android Malware Analysis Tools
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Android Malware Detection and Adversarial Methods
The rise of Android malware poses a significant threat to users’ information security and privacy. Malicious software can inflict severe harm on users by employing various tactics, including deception, personal information theft, and device control. To address this issue, both academia and industry are continually engaged in research and development efforts focused on detecting and countering Android malware. This book is a comprehensive academic monograph crafted against this backdrop. The publication meticulously explores the background, methods, adversarial approaches, and future trends related to Android malware. It is organized into four parts: the overview of Android malware detection, the general Android malware detection method, the adversarial method for Android malware detection, and the future trends of Android malware detection. Within these sections, the book elucidates associated issues, principles, and highlights notable research. By engaging with this book, readers will gain not only a global perspective on Android malware detection and adversarial methods but also a detailed understanding of the taxonomy and general methods outlined in each part. The publication illustrates both the overarching model and representative academic work, facilitating a profound comprehension of Android malware detection.
Android Ethical Hacking: Tools, Techniques, and Security Strategies
"Android Ethical Hacking: Tools, Techniques, and Security Strategies" is a comprehensive guide designed for cybersecurity professionals, ethical hackers, and IT learners interested in understanding the security architecture of Android devices. This book covers practical tools and real-world strategies used in mobile penetration testing, ethical exploitation, and security hardening. Readers will learn how to analyze mobile applications, identify vulnerabilities, perform reverse engineering, and simulate ethical attacks in a responsible and lawful manner.
Malware Detection
Author: Mihai Christodorescu
language: en
Publisher: Springer Science & Business Media
Release Date: 2007-03-06
This book captures the state of the art research in the area of malicious code detection, prevention and mitigation. It contains cutting-edge behavior-based techniques to analyze and detect obfuscated malware. The book analyzes current trends in malware activity online, including botnets and malicious code for profit, and it proposes effective models for detection and prevention of attacks using. Furthermore, the book introduces novel techniques for creating services that protect their own integrity and safety, plus the data they manage.