Xposed Github


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Android Malware Detection and Adversarial Methods


Android Malware Detection and Adversarial Methods

Author: Weina Niu

language: en

Publisher: Springer Nature

Release Date: 2024-05-23


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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.

Mobile Internet Security


Mobile Internet Security

Author: Ilsun You

language: en

Publisher: Springer Nature

Release Date: 2020-11-01


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This book constitutes the refereed proceedings of the 4th International Symposium on Mobile Internet Security, MobiSec 2019, held in Taichung, Taiwan, in October 2019. The 13 revised full papers presented were carefully reviewed and selected from 44 submissions. The papers are organized in the topical sections: mobile internet security; mobile application and security; vehicular network security; deep learning applications.

Algorithms and Architectures for Parallel Processing


Algorithms and Architectures for Parallel Processing

Author: Guojun Wang

language: en

Publisher: Springer

Release Date: 2015-11-16


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This four volume set LNCS 9528, 9529, 9530 and 9531 constitutes the refereed proceedings of the 15th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2015, held in Zhangjiajie, China, in November 2015. The 219 revised full papers presented together with 77 workshop papers in these four volumes were carefully reviewed and selected from 807 submissions (602 full papers and 205 workshop papers). The first volume comprises the following topics: parallel and distributed architectures; distributed and network-based computing and internet of things and cyber-physical-social computing. The second volume comprises topics such as big data and its applications and parallel and distributed algorithms. The topics of the third volume are: applications of parallel and distributed computing and service dependability and security in distributed and parallel systems. The covered topics of the fourth volume are: software systems and programming models and performance modeling and evaluation.