Intelligent Mobile Malware Detection

The popularity of Android mobile phones has increased the risk of cybercriminals creating malware applications. This book provides an introduction to the Android operating system, limitations of static malware detection mechanisms, and hybrid malware detection mechanisms using graph and stochastic models. It also presents four dynamic malware detection mechanisms using graph centrality measures, graph signal processing, and graph convolutional networks. The experiments are conducted with the latest Android malware samples, and the source codes are provided for easy implementation. This book is useful for Android malware researchers, developers, students, and cyber security professionals to explore and build defense mechanisms against Android malware.

Format: Hardback
Length: 174 pages
Publication date: 30 December 2022
Publisher: Taylor & Francis Ltd

The surge in popularity of Android mobile phones has given rise to a significant increase in the creation of malicious software applications designed to carry out a wide range of nefarious activities. The attacks, which intensified following the COVID-19 pandemic, have underscored the critical need to safeguard Android mobile devices against malware attacks.

"Intelligent Mobile Malware Detection" aims to empower users with the knowledge and skills to develop robust and intelligent Android malware detection mechanisms. The book begins by providing an introduction to the Android operating system, highlighting the limitations of traditional static malware detection methods and presenting a comprehensive overview of a hybrid malware detection mechanism.

The text then delves into four distinct system call-based dynamic Android malware detection mechanisms. These mechanisms employ graph centrality measures, graph signal processing, and graph convolutional networks to identify malicious behavior. Furthermore, the book demonstrates how the presence of a unique subsequence of system calls in the system call sequence can serve as a powerful indicator of malware presence.

All the malware detection mechanisms presented in the book are based on the authors' recent research. Extensive experiments have been conducted using the latest Android malware samples, which were obtained from public repositories. Additionally, the source codes are provided to facilitate easy implementation of these mechanisms.

"Intelligent Mobile Malware Detection" is an invaluable resource for Android malware researchers, developers, students, and cyber security professionals. It offers a comprehensive exploration of the latest techniques and methodologies for detecting and mitigating Android malware threats. By staying abreast of the evolving landscape of mobile malware, readers can develop effective defense mechanisms and ensure the security of their Android devices.

Weight: 414g
Dimension: 162 x 240 x 18 (mm)
ISBN-13: 9780367638719