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Intelligent Mobile Malware Detection

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Description:The popularity of Android mobile phones has attracted cybercriminals to create malware applications that carry out various malicious activities. The attacks escalated much more after the COVID-19 pandemic. In this scenario, it is very important to protect our Android mobile devices from malware attacks. This book will teach how to develop intelligent Android malware detection mechanisms using various graph and stochastic models. The book begins with an introduction of the Android operating system accompanied by the limitations of the state of the art static malware detection mechanisms and a detailed presentation of a hybrid malware detection mechanism. The book then presents four different system call based dynamic Android malware detection mechanisms using graph centrality measures, graph signal processing and graph convolutional networks. Further it is showed that most of the Android malware could be detected by checking the presence of a unique subsequence of system calls in its system call sequence. All the malware detection mechanisms presented in the book are based on the recent research works of the authors. The experiments are conducted with the latest Android malware samples and also the malware samples collected from public repositories. The source codes are also provided for easy implementation of the mechanisms. This book will be highly useful for Android malware researchers, developers, students and cyber security professionals to explore and build defense mechanisms against the ever-evolving Android malware.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Intelligent Mobile Malware Detection. To get started finding Intelligent Mobile Malware Detection, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

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Format: PDF, EPUB & Kindle Edition

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ISBN: 1000824977

Description: The popularity of Android mobile phones has attracted cybercriminals to create malware applications that carry out various malicious activities. The attacks escalated much more after the COVID-19 pandemic. In this scenario, it is very important to protect our Android mobile devices from malware attacks. This book will teach how to develop intelligent Android malware detection mechanisms using various graph and stochastic models. The book begins with an introduction of the Android operating system accompanied by the limitations of the state of the art static malware detection mechanisms and a detailed presentation of a hybrid malware detection mechanism. The book then presents four different system call based dynamic Android malware detection mechanisms using graph centrality measures, graph signal processing and graph convolutional networks. Further it is showed that most of the Android malware could be detected by checking the presence of a unique subsequence of system calls in its system call sequence. All the malware detection mechanisms presented in the book are based on the recent research works of the authors. The experiments are conducted with the latest Android malware samples and also the malware samples collected from public repositories. The source codes are also provided for easy implementation of the mechanisms. This book will be highly useful for Android malware researchers, developers, students and cyber security professionals to explore and build defense mechanisms against the ever-evolving Android malware.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Intelligent Mobile Malware Detection. To get started finding Intelligent Mobile Malware Detection, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

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Intelligent Mobile Malware Detection

Intelligent Mobile Malware Detection

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