The security of information and communication technology is a high priority for any organization. By examining the current problems and challenges this domain is facing, more efficient strategies can be established to safeguard personal information against invasive pressures. Security and Privacy Management, Techniques, and Protocols is a critical scholarly resource that examines emerging protocols and methods for effective management of information security at organizations. Featuring coverage on a broad range of topics such as cryptography, secure routing protocols, and wireless security, this book is geared towards academicians, engineers, IT specialists, researchers, and students seeking current research on security and privacy management.

This book presents state-of-the-art research on artificial intelligence and blockchain for future cybersecurity applications. The accepted book chapters covered many themes, including artificial intelligence and blockchain challenges, models and applications, cyber threats and intrusions analysis and detection, and many other applications for smart cyber ecosystems. It aspires to provide a relevant reference for students, researchers, engineers, and professionals working in this particular area or those interested in grasping its diverse facets and exploring the latest advances on artificial intelligence and blockchain for future cybersecurity applications.

This book presents the latest advances in computational intelligence and data analytics for sustainable future smart cities. It focuses on computational intelligence and data analytics to bring together the smart city and sustainable city endeavors. It also discusses new models, practical solutions and technological advances related to the development and the transformation of cities through machine intelligence and big data models and techniques. This book is helpful for students and researchers as well as practitioners.

Security and privacy protection within computer networks can be a challenge. By examining the current problems and challenges this domain is facing, more efficient strategies can be established to safeguard personal information against invasive pressures. Security and Privacy in Smart Sensor Networks is a critical scholarly resource that examines recent developments and emerging trends in smart sensor security and privacy by providing new models, practical solutions, and technological advances related to security. Featuring coverage on a broad range of topics such as cloud security, encryption, and intrusion detection systems, this book is geared towards academicians, engineers, IT specialists, researchers, and students seeking current research on authentication and intrusion detection.

This book presents the latest advances in machine intelligence and big data analytics to improve early warning of cyber-attacks, for cybersecurity intrusion detection and monitoring, and malware analysis. Cyber-attacks have posed real and wide-ranging threats for the information society. Detecting cyber-attacks becomes a challenge, not only because of the sophistication of attacks but also because of the large scale and complex nature of today's IT infrastructures. It discusses novel trends and achievements in machine intelligence and their role in the development of secure systems and identifies open and future research issues related to the application of machine intelligence in the cybersecurity field. Bridging an important gap between machine intelligence, big data, and cybersecurity communities, it aspires to provide a relevant reference for students, researchers, engineers, and professionals working in this area or those interested in grasping its diverse facets and exploring the latest advances on machine intelligence and big data analytics for cybersecurity applications.

Rapid advancements in mobile computing and communication technology and recent technological progress have opened up a plethora of opportunities. These advancements have expanded knowledge, facilitated global business, enhanced collaboration, and connected people through various digital media platforms. While these virtual platforms have provided new avenues for communication and self-expression, they also pose significant threats to our privacy. As a result, we must remain vigilant against the propagation of electronic violence through social networks. Cyberbullying has emerged as a particularly concerning form of online harassment and bullying, with instances of racism, terrorism, and various types of trolling becoming increasingly prevalent worldwide. Addressing the issue of Cyberbullying to find effective solutions is a challenge for the web mining community, particularly within the realm of social media. In this context, artificial intelligence (AI) can serve as a valuable tool in combating the diverse manifestations of Cyberbullying on the internet and social networks. This book presents the latest cutting-edge research, theoretical methods, and novel applications in artificial intelligence techniques to combat cyberbullying. Discussing new models, practical solutions, and technological advances related to detecting and analyzing Cyberbullying is based on artificial intelligence models and other related techniques. Furthermore, the book helps readers understand artificial intelligence techniques to combat cyberbullying systematically and forthrightly, as well as future insights and the societal and technical aspects of NLP-based cyberbullying research efforts. Key Features: Proposes new models, practical solutions and technological advances related to machine intelligence techniques for detecting cyberbullying across multiple social media platforms Combines both theory and practice so that readers (beginners or experts) of this book can find both a description of the concepts and context related to the machine intelligence Includes many case studies and applications of machine intelligence for combating cyberbullying

This book explores the intersection of cybersecurity and education technologies, providing practical solutions, detection techniques, and mitigation strategies to ensure a secure and protected learning environment in the face of evolving cyber threats. With a wide range of contributors covering topics from immersive learning to phishing detection, this book is a valuable resource for professionals, researchers, educators, students, and policymakers interested in the future of cybersecurity in education. Provides practical solutions, detection techniques, and mitigation strategies to ensure a secure and protected learning environment in the face of evolving cyber threats. Covers a wide range of topics including immersive learning, cybersecurity education, and malware detection, making it a valuable resource for professionals, researchers, educators, students, and policymakers. Offers both theoretical foundations and practical guidance for fostering a secure and protected environment for educational advancements in the digital age. Addresses the need for cybersecurity in education in the context of worldwide changes in education sources and advancements in technology. Highlights the significance of integrating cybersecurity into educational practices and protecting sensitive information to ensure students' performance prediction systems are not misused.

The integration of new technologies is resulting in an increased demand for security and authentication in all types of data communications. Cybersecurity is the protection of networks and systems from theft. Biometric technologies use unique traits of particular parts of the body such facial recognition, iris, fingerprints and voice to identify individuals' physical and behavioural characteristics. Although there are many challenges associated with extracting, storing and processing such data, biometric and cybersecurity technologies along with artificial intelligence (AI) are offering new approaches to verification procedures and mitigating security risks. This book presents cutting-edge research on the use of AI for biometrics and cybersecurity including machine and deep learning architectures, emerging applications and ethical and legal concerns. Topics include federated learning for enhanced cybersecurity; artificial intelligence-based biometric authentication using ECG signal; deep learning for email phishing detection methods; biometrics for secured IoT systems; intelligent authentication using graphical one-time-passwords; and AI in social cybersecurity. Artificial Intelligence for Biometrics and Cybersecurity: Technology and applications is aimed at artificial intelligence, biometrics and cybersecurity experts, industry and academic researchers, network security engineers, cybersecurity professionals, and advanced students and newcomers to the field interested in the newest advancements in artificial intelligence for cybersecurity and biometrics.

This book presents the latest cutting-edge research, theoretical methods, and novel applications in the field of computational intelligence techniques and methods for combating fake news. Fake news is everywhere. Despite the efforts of major social network players such as Facebook and Twitter to fight disinformation, miracle cures and conspiracy theories continue to rain down on the net. Artificial intelligence can be a bulwark against the diversity of fake news on the Internet and social networks. This book discusses new models, practical solutions, and technological advances related to detecting and analyzing fake news based on computational intelligence models and techniques, to help decision-makers, managers, professionals, and researchers design new paradigms considering the unique opportunities associated with computational intelligence techniques. Further, the book helps readers understand computational intelligence techniques combating fake news in a systematic and straightforward way.

- Concentrates on the sustainable applications of the IoT and CPS Forensics across multiple latest computational knowledge domains. - Covers the feasible and practical collaboration of IoT and CPS with the latest Sustainable Smart Computing Technologies. - Ideally designed for policymakers, students, researchers, academicians, and professionals who are looking for current research that is interested in exploring and implementing IoT and CPS Forensics strategies.

1. Propose the latest discoveries in terms of machine intelligence techniques and methods for cybersecurity and privacy; 2. Propose many case studies and applications of machine intelligence in various cybersecurity fields (Smart City, IoT, Cyber Physical System, etc) 3. Combine theory and practice so that readers of the few books (beginners or experts) can find both a description of the concepts and context related to machine intelligence for cybersecurity.

The growing share of renewable energies, as well as the rising demand for electricity for transport and heating, are increasing the importance of power converters and the requirements for reliability and control. Intelligent control can increase converter efficiency, reducing size and weight. The application of intelligent control techniques to power converters has therefore recently become a focus of research. Intelligent Control of Medium and High Power Converters summarizes the state of the art in the control of electric power converters. After an overview of the topic, the chapters cover optimization, bi-directional DC-DC converters, high-gain converters, GaN-based synchronous converters, control design, sliding mode control of three-phase inverters and three-level grid-connected inverters, neurological control, low-frequency switching operation, and a comparison and overview chapter. Comparing control methods for different converters helps users find the best solution for each type of converter and application. The book is a valuable resource for researchers and manufacturers involved with converters and power grids, as well as for advanced students.

Today, the use of machine intelligence, expert systems, and analytical technologies combined with Big Data is the natural evolution of both disciplines. As a result, there is a pressing need for new and innovative algorithms to help us find effective and practical solutions for smart applications such as smart cities, IoT, healthcare, and cybersecurity. This book presents the latest advances in big data intelligence for smart applications. It explores several problems and their solutions regarding computational intelligence and big data for smart applications. It also discusses new models, practical solutions,and technological advances related to developing and transforming cities through machine intelligence and big data models and techniques. This book is helpful for students and researchers as well as practitioners.

The Cyber-Physical System (CPS) relates to many other popularized technologies such as Internet of Things (IoT, IIoT), Machine-to-Machine (M2M), Industry 4.0, which describe a vision of connected creations that deeply unite the physical and information domains. As a revolutionary technology, Blockchain (BC) provides a practical solution to enable a secure and decentralized public ledger that a huge plethora of exciting new technology applications in several areas, such as the Internet of Things (IoT), Cyber-Physical Systems, Manufacturing, Supply-Chain, etc. Blockchain technology has infiltrated all areas of our lives, from manufacturing to healthcare and beyond. In this context, this book helps discover the various potential applications that could be fruitful for cyber-physical system applications. It provides a sampling of recent advances and ideas on research progress and the practical usage of blockchain technologies in addressing cyber-physical systems challenges and issues. It provides a sampling of recent advances and views on research progress and the practical usage of blockchain technologies in addressing cyber-physical systems challenges and issues.

In recent years, a considerable amount of effort has been devoted to cyber-threat protection of computer systems which is one of the most critical cybersecurity tasks for single users and businesses since even a single attack can result in compromised data and sufficient losses. Massive losses and frequent attacks dictate the need for accurate and timely detection methods. Current static and dynamic methods do not provide efficient detection, especially when dealing with zero-day attacks. For this reason, big data analytics and machine intelligence-based techniques can be used. This book brings together researchers in the field of big data analytics and intelligent systems for cyber threat intelligence CTI and key data to advance the mission of anticipating, prohibiting, preventing, preparing, and responding to internal security. The wide variety of topics it presents offers readers multiple perspectives on various disciplines related to big data analytics and intelligent systems for cyber threat intelligence applications. Technical topics discussed in the book include: Big data analytics for cyber threat intelligence and detection Artificial intelligence analytics techniques Real-time situational awareness Machine learning techniques for CTI Deep learning techniques for CTI Malware detection and prevention techniques Intrusion and cybersecurity threat detection and analysis Blockchain and machine learning techniques for CTI

Cybersecurity and Privacy in Cyber-Physical Systems collects and reports on recent high-quality research that addresses different problems related to cybersecurity and privacy in cyber-physical systems (CPSs). It Presents high-quality contributions addressing related theoretical and practical aspects Improves the reader's awareness of cybersecurity and privacy in CPSs Analyzes and presents the state of the art of CPSs, cybersecurity, and related technologies and methodologies Highlights and discusses recent developments and emerging trends in cybersecurity and privacy in CPSs Proposes new models, practical solutions, and technological advances related to cybersecurity and privacy in CPSs Discusses new cybersecurity and privacy models, prototypes, and protocols for CPSs This comprehensive book promotes high-quality research by bringing together researchers and experts in CPS security and privacy from around the world to share their knowledge of the different aspects of CPS security. Cybersecurity and Privacy in Cyber-Physical Systems is ideally suited for policymakers, industrial engineers, researchers, academics, and professionals seeking a thorough understanding of the principles of cybersecurity and privacy in CPSs. They will learn about promising solutions to these research problems and identify unresolved and challenging problems for their own research. Readers will also have an overview of CPS cybersecurity and privacy design.

This book contains high-quality and original research on computational intelligence for green smart cities research. In recent years, the use of smart city technology has rapidly increased through the successful development and deployment of Internet of Things (IoT) architectures. The citizens' quality of life has been improved in several sensitive areas of the city, such as transportation, buildings, health care, education, environment, and security, thanks to these technological advances Computational intelligence techniques and algorithms enable a computational analysis of enormous data sets to reveal patterns that recur. This information is used to inform and improve decision-making at the municipal level to build smart computational intelligence techniques and sustainable cities for their citizens. Machine intelligence allows us to identify trends (patterns). The smart city could better integrate its transportation network, for example. By offering a better public transportation network adapted to the demand, we could reduce personal vehicles and energy consumption. A smart city could use models to predict the consequences of a change, such as pedestrianizing a street or adding a bike lane. A city can even create a 3D digital twin to test hypothetical projects. This book comprises many state-of-the-art contributions from scientists and practitioners working in machine intelligence and green smart cities. It aspires to provide a relevant reference for students, researchers, engineers, and professionals working in this area or those interested in grasping its diverse facets and exploring the latest advances in machine intelligence for green and sustainable smart city applications.

This book offers the latest research results on blockchain technology and its application for cybersecurity in cyber-physical systems (CPS). It presents crucial issues in this field and provides a sample of recent advances and insights into the research progress. Practical use of blockchain technology is addressed as well as cybersecurity and cyber threat challenges and issues. This book also offers readers an excellent foundation on the fundamental concepts and principles of blockchain based cybersecurity for cyber-physical systems. It guides the reader through the core ideas with expert ease. Blockchain technology has infiltrated all areas of our lives, from manufacturing to healthcare and beyond. Cybersecurity is an industry that has been significantly affected by this technology, and maybe more so in the future. This book covers various case studies and applications of blockchain in various cyber-physical fields, such as smart cities, IoT, healthcare, manufacturing, online fraud, etc. This book is one of the first reference books covering the application of blockchain technology for cybersecurity in cyber-physical systems (CPS). Researchers working in the cybersecurity field and advanced-level students studying this field will find this book useful as a reference. Decision-makers, managers and professionals also working in this field will want to purchase this book.

As digitization continues to bring rapid changes to businesses, companies must remain agile in order to comply with changing regulations and maintain governance and compliance while achieving its business objectives. To achieve this agility, IT staff within these companies must be able to respond quickly to changing business needs while maintaining existing and efficient infrastructure. Strategic IT Governance and Performance Frameworks in Large Organizations is an essential reference source that provides emerging frameworks and models that implement an efficient strategic IT governance in organizations and discusses the effects these policies have on the business as a whole. Featuring six international case studies from large organizations, this title covers topics such as IT management, security policy, and organizational governance, and is ideally designed for IT specialists, academicians, researchers, policymakers, and managers.

A company's ability to evolve more efficiently than its competitors in a complex, dynamic and unpredictable environment gives it an undeniable advantage. In this context, and with the increasing automation of manufacturing and decision-making processes, the value of IT use is reinforced and becomes an asset for the company, provided that it achieves IT agility and can maintain it. However, practice and research remain unsatisfactory in providing useful answers on how to achieve agility in this environment. Strategic Information System Agility: From Theory to Practices is an invaluable resource to discover the strategic information technology agility in organizations. The purpose of this book is to improve the awareness of strategic information system agility. This book focuses on the impact of IT systems' strategic agility on organizations' business performance in response to highly uncertain and unexpected events that are potentially significant. The book also includes frameworks, practical solutions and technological advances related to IT agility, and draw from the real world of business through case studies in large organizations. The book offers comprehensive coverage of essential topics, including: Agility Concept, Enterprise Information System Agility, Conceptual IT Agility, Strategic IT Service Management Agility, Cloud computing as a driver of IT Agility. The authors deliver comprehensive coverage of the elements necessary for the development and the implementation of effective Information systems strategic agility. Providing the concept, theory, modeling, and architecture of an agile information system, covering the state of the art, concepts, and methodologies for developing information.

Computational Intelligence for Medical Internet of Things (MIoT) Applications: Machine Intelligence Applications for IoT in Healthcare explores machine intelligence techniques necessary for effective MIoT research and practice, taking a practical approach for practitioners and students entering the field. This book investigates advanced concepts and applications in the MIoT field, guiding readers through emerging developments and future trends. A wide range of international authors guide readers through advanced concepts, including deep learning, neural network, and big data analytic approaches for the classification, indexing, retrieval, analysis, and inferencing of healthcare data.

This book presents state-of-the-art research on artificial intelligence and blockchain for future cybersecurity applications. The accepted book chapters covered many themes, including artificial intelligence and blockchain challenges, models and applications, cyber threats and intrusions analysis and detection, and many other applications for smart cyber ecosystems. It aspires to provide a relevant reference for students, researchers, engineers, and professionals working in this particular area or those interested in grasping its diverse facets and exploring the latest advances on artificial intelligence and blockchain for future cybersecurity applications.

This book presents the latest advances in computational intelligence and data analytics for sustainable future smart cities. It focuses on computational intelligence and data analytics to bring together the smart city and sustainable city endeavors. It also discusses new models, practical solutions and technological advances related to the development and the transformation of cities through machine intelligence and big data models and techniques. This book is helpful for students and researchers as well as practitioners.

This book presents the latest advances in machine intelligence and big data analytics to improve early warning of cyber-attacks, for cybersecurity intrusion detection and monitoring, and malware analysis. Cyber-attacks have posed real and wide-ranging threats for the information society. Detecting cyber-attacks becomes a challenge, not only because of the sophistication of attacks but also because of the large scale and complex nature of today's IT infrastructures. It discusses novel trends and achievements in machine intelligence and their role in the development of secure systems and identifies open and future research issues related to the application of machine intelligence in the cybersecurity field. Bridging an important gap between machine intelligence, big data, and cybersecurity communities, it aspires to provide a relevant reference for students, researchers, engineers, and professionals working in this area or those interested in grasping its diverse facets and exploring the latest advances on machine intelligence and big data analytics for cybersecurity applications.

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.