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Android malware detection and adversarial methods

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Android malware detection and adversarial methods/ by Weina Niu ... [et al.].
其他作者:	Niu, Weina.
出版者:	Singapore :Springer Nature Singapore : : 2024.,
面頁冊數:	xiv, 190 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Malware (Computer software) -
電子資源:	https://doi.org/10.1007/978-981-97-1459-9
ISBN:	9789819714599

Android malware detection and adversarial methods
Android malware detection and adversarial methods[electronic resource] /by Weina Niu ... [et al.]. - Singapore :Springer Nature Singapore :2024. - xiv, 190 p. :ill., digital ;24 cm.

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.

ISBN: 9789819714599

Standard No.: 10.1007/978-981-97-1459-9doiSubjects--Uniform Titles:

Android (Electronic resource)
Subjects--Topical Terms:

1458432
Malware (Computer software)

LC Class. No.: QA76.76.C68

Dewey Class. No.: 005.88

Android malware detection and adversarial methods
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520 $a 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.
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