Intelligent Mobile Malware Detection (Security, Privacy, and Trust in Mobile Communications)

The popularity of Android mobile phones has caused more cybercriminals to create malware applications that carry out various malicious activities. The attacks, which escalated after the COVID-19 pandemic, proved there is great importance in protecting Android mobile devices from malware attacks. Intelligent Mobile Malware Detection will teach users how to develop intelligent Android malware detection mechanisms by using various graph and stochastic models. The book begins with an introduction to the Android operating system accompanied by the limitations of the state-of-the-art static malware detection mechanisms as well as a detailed presentation of a hybrid malware detection mechanism. The text 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 shows how most of the Android malware can 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 authors' recent research. The experiments are conducted with the latest Android malware samples and the malware samples are collected from public repositories. The source codes are also provided for easy implementation of the mechanisms. This book will be highly useful to Android malware researchers, developers, students and cyber security professionals to explore and build defense mechanisms against the ever-evolving Android malware.

Thomas, Tony.

Alazab, Mamoun

Surendran, Roopak

John, Teenu

Reference

CRC-Press

IT governance seems to be one of the best strategies to optimize IT assets in an economic context dominated by information, innovation, and the race for performance. The multiplication of internal and external data and increased digital management, collaboration, and sharing platforms exposes organizations to ever-growing risks. Understanding the threats, assessing the risks, adapting the organization, selecting and implementing the appropriate controls, and implementing a management system are the activities required to establish proactive security governance that will provide management and customers the assurance of an effective mechanism to manage risks. 
IT Governance and Information Security: Guides, Standards, and Frameworks is a fundamental resource to discover IT governance and information security. This book focuses on the guides, standards, and maturity frameworks for adopting an efficient IT governance and information security strategy in the organization. It describes numerous case studies from an international perspective and brings together industry standards and research from scientific databases. In this way, this book clearly illustrates the issues, problems, and trends related to the topic while promoting the international perspectives of readers. 
This book offers comprehensive coverage of the essential topics, including: 
IT governance guides and practices; 
IT service management as a key pillar for IT governance; 
Cloud computing as a key pillar for Agile IT governance; 
Information security governance and maturity frameworks. 
In this new book, the authors share their experience to help you navigate today’s dangerous information security terrain and take proactive steps to measure your company’s IT governance and information security maturity and prepare your organization to survive, thrive, and keep your data safe. It aspires to provide a relevant reference for executive managers, CISOs, cybersecurity professionals, engineers, and researchers interested in exploring and implementing efficient IT governance and information security strategies.

IT Governance and Information Security: Guides, Standards, and Frameworks (Advances in Cybersecurity Management)

Business & Money

Maleh, Yassine

Sahid, Abdelkebir

Belaissaoui, Mustapha

Management & Leadership

The popularity of Android mobile phones has caused more cybercriminals to create malware applications that carry out various malicious activities. The attacks, which escalated after the COVID-19 pandemic, proved there is great importance in protecting Android mobile devices from malware attacks. Intelligent Mobile Malware Detection will teach users how to develop intelligent Android malware detection mechanisms by using various graph and stochastic models. The book begins with an introduction to the Android operating system accompanied by the limitations of the state-of-the-art static malware detection mechanisms as well as a detailed presentation of a hybrid malware detection mechanism. The text then presents four different system call-based dynamic Android malware detection mechanisms using graph centrality measures, graph signal processing and graph convolutional networks. Further, the text shows how most of the Android malware can 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 authors' recent research. The experiments are conducted with the latest Android malware samples, and the malware samples are collected from public repositories. The source codes are also provided for easy implementation of the mechanisms. This book will be highly useful to Android malware researchers, developers, students and cyber security professionals to explore and build defense mechanisms against the ever-evolving Android malware.

Comprehensive resource presenting the latest developments, innovations, and solutions for all types of AI-enabled cybersecurity for innovative computing AI-enabled Cybersecurity and Privacy for Next-Generation Communications Management proposes a comprehensive approach to innovative computing based on artificial intelligence techniques and algorithms for designing and deploying computational mechanics precepts, taking the form of protocols and algorithmic frameworks to improve the security, efficiency, and utility of emerging technologies. In each case, progress is highlighted, and open questions are listed. Additionally, the book presents an advanced-level overview of developments in some promising information and communication technologies, including modern and future network communication environments (including Internet of Things and Fog Computing), and their applications. The authors also discuss the impact of artificial intelligence on the management of emerging technologies, such as big data analysis and blockchain, and their various applications in cybersecurity. Specific sample topics covered in AI-enabled Cybersecurity and Privacy for Next-Generation Communications Management include: <ul> <li>Historical networking technologies and how they have informed the current trends in networks and services</li> <li>Key next-generation technologies enabling companies to run faster, smarter, and better than ever before</li> <li>How merging artificial intelligence and blockchain will change cybersecurity as we know it and make next-generation solutions more effective</li> <li>Emerging cybersecurity challenges and how the advancements could alleviate the ensuing risks in AI and blockchain technologies</li> </ul> Analyzing the state-of-the-art of AI-enabled cybersecurity for innovative computing, next-generation communications, and related technologies and methodologies, AI-enabled Cybersecurity and Privacy for Next-Generation Communications Management is a must-have resource for cybersecurity and network professionals, along with graduate and senior undergraduate students in related programs of study.

AI-enabled Cybersecurity and Privacy for Next-Generation Communications Management (IEEE Press Series on Networks and Service Management)

Computers & Technology

Tawalbeh, Lo'ai

Computer Science

Wiley-IEEE Press

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Books by Alazab, Mamoun