Название: Android Malware Detection and Adversarial Methods
Автор: Weina Niu, Xiaosong Zhang, Ran Yan
Издательство: Springer
Год: 2024
Страниц: 197
Язык: английский
Формат: pdf (true), epub
Размер: 10.1 MB
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. This book is divided into four parts, covering all aspects of Android malware detection. The first part is an overview of Android malware. Through an overview of Android malware detection, it provides readers with an overall understanding of this field. The second part is the general method of Android malware detection, including signature-based malware detection method, behavior-based malware detection method, and artificial intelligence-based malware detection method. These methods are currently widely researched and applied technologies. By introducing their principles and applications in detail, readers can have an in-depth understanding and apply them to actual malware detection work. The third part is Android malware detection and adversarial methods, including static adversarial methods in Android, dynamic adversarial methods in Android, and adversarial technology in machine learning. These methods are designed to help readers understand and respond to the adversarial behavior of malware and improve detection accuracy and effectiveness. Finally, the fourth part is about the future trends of Android malware. By discussing future development trends, it shows readers the cutting-edge research and development directions in this field.
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