Yassine Maleh – författare

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. Presents the state-of-the-art in machine intelligence and related technologies and methodologies for IoT in healthcare Discusses emerging developments and trends in machine intelligence for business and decision-making strategy in healthcare Features new models, practical solutions, prototypes, frameworks and technological advances related to machine intelligence for MIoT applications

Blockchain technology is defined as a decentralized system of distributed registers that are used to record data transactions on multiple computers. The reason this technology has gained popularity is that you can put any digital asset or transaction in the blocking chain, the industry does not matter. 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 may be more so in the future.Blockchain for Cybersecurity and Privacy: Architectures, Challenges, and Applications is an invaluable resource to discover the blockchain applications for cybersecurity and privacy. The purpose of this book is to improve the awareness of readers about blockchain technology applications for cybersecurity and privacy. This book focuses on the fundamentals, architectures, and challenges of adopting blockchain for cybersecurity. Readers will discover different applications of blockchain for cybersecurity in IoT and healthcare. The book also includes some case studies of the blockchain for e-commerce online payment, retention payment system, and digital forensics. The book offers comprehensive coverage of the most essential topics, including: Blockchain architectures and challenges Blockchain threats and vulnerabilities Blockchain security and potential future use cases Blockchain for securing Internet of Things Blockchain for cybersecurity in healthcare Blockchain in facilitating payment system security and privacyThis book comprises a number of state-of-the-art contributions from both scientists and practitioners working in the fields of blockchain technology and cybersecurity. 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 the blockchain for cybersecurity and privacy.

Blockchain technology is defined as a decentralized system of distributed registers that are used to record data transactions on multiple computers. The reason this technology has gained popularity is that you can put any digital asset or transaction in the blocking chain, the industry does not matter. 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 may be more so in the future.Blockchain for Cybersecurity and Privacy: Architectures, Challenges, and Applications is an invaluable resource to discover the blockchain applications for cybersecurity and privacy. The purpose of this book is to improve the awareness of readers about blockchain technology applications for cybersecurity and privacy. This book focuses on the fundamentals, architectures, and challenges of adopting blockchain for cybersecurity. Readers will discover different applications of blockchain for cybersecurity in IoT and healthcare. The book also includes some case studies of the blockchain for e-commerce online payment, retention payment system, and digital forensics. The book offers comprehensive coverage of the most essential topics, including: Blockchain architectures and challenges Blockchain threats and vulnerabilities Blockchain security and potential future use cases Blockchain for securing Internet of Things Blockchain for cybersecurity in healthcare Blockchain in facilitating payment system security and privacyThis book comprises a number of state-of-the-art contributions from both scientists and practitioners working in the fields of blockchain technology and cybersecurity. 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 the blockchain for cybersecurity and privacy.

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 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.

The quantity, diversity, and sophistication of Internet of Things (IoT) items are rapidly increasing, posing significant issues but also innovative solutions for forensic science. Such systems are becoming increasingly common in public locations, businesses, universities, residences, and other shared offices, producing enormous amounts of data at rapid speeds in a variety of forms. IoT devices can be used as suspects, digital witnesses, or instruments of crime and cyberattacks, posing new investigation problems, forensic issues, security threats, legal concerns, privacy concerns, and ethical dilemmas. A cyberattack on IoT devices might target the device itself or associated systems, particularly vital infrastructure.This book discusses the advancements in IoT and Cyber Physical Systems (CPS) forensics. The first objective is to learn and understand the fundamentals of IoT forensics. This objective will answer the question of why and how IoT has evolved as one of the most promising and widely accepted technologies across the globe and has many widely accepted applications.The second objective is to learn how to use CPS to address many computational problems. CPS forensics is a promising domain, and there are various advancements in this field. This book is structured so that the topics of discussion are relevant to each reader’s particular areas of interest. The book’s goal is to help each reader to see the relevance of IoT and CPS forensics to his or her career or interests.This book not only presents numerous case studies from a global perspective, but it also compiles a large amount of literature and research from a database. As a result, this book effectively demonstrates the concerns, difficulties, and trends surrounding the topic while also encouraging readers to think globally. The main goal of this project is to encourage both researchers and practitioners to share and exchange their experiences and recent studies between academia and industry.

The quantity, diversity, and sophistication of Internet of Things (IoT) items are rapidly increasing, posing significant issues but also innovative solutions for forensic science. Such systems are becoming increasingly common in public locations, businesses, universities, residences, and other shared offices, producing enormous amounts of data at rapid speeds in a variety of forms. IoT devices can be used as suspects, digital witnesses, or instruments of crime and cyberattacks, posing new investigation problems, forensic issues, security threats, legal concerns, privacy concerns, and ethical dilemmas. A cyberattack on IoT devices might target the device itself or associated systems, particularly vital infrastructure.This book discusses the advancements in IoT and Cyber Physical Systems (CPS) forensics. The first objective is to learn and understand the fundamentals of IoT forensics. This objective will answer the question of why and how IoT has evolved as one of the most promising and widely accepted technologies across the globe and has many widely accepted applications.The second objective is to learn how to use CPS to address many computational problems. CPS forensics is a promising domain, and there are various advancements in this field. This book is structured so that the topics of discussion are relevant to each reader’s particular areas of interest. The book’s goal is to help each reader to see the relevance of IoT and CPS forensics to his or her career or interests.This book not only presents numerous case studies from a global perspective, but it also compiles a large amount of literature and research from a database. As a result, this book effectively demonstrates the concerns, difficulties, and trends surrounding the topic while also encouraging readers to think globally. The main goal of this project is to encourage both researchers and practitioners to share and exchange their experiences and recent studies between academia and industry.

As cyberattacks continue to grow in complexity and number, computational intelligence is helping under-resourced security analysts stay one step ahead of threats. Drawing on threat intelligence from millions of studies, blogs, and news articles, computational intelligence techniques such as machine learning and automatic natural language processing quickly provide the means to identify real threats and dramatically reduce response times. The book collects and reports on recent high-quality research addressing different cybersecurity challenges. It: explores the newest developments in the use of computational intelligence and AI for cybersecurity applications provides several case studies related to computational intelligence techniques for cybersecurity in a wide range of applications (smart health care, blockchain, cyber-physical system, etc.) integrates theoretical and practical aspects of computational intelligence for cybersecurity so that any reader, from novice to expert, may understand the book’s explanations of key topics.It offers comprehensive coverage of the essential topics, including: machine learning and deep learning for cybersecurity blockchain for cybersecurity and privacy security engineering for cyber-physical systems AI and data analytics techniques for cybersecurity in smart systems trust in digital systems This book discusses the current state-of-the-art and practical solutions for the following cybersecurity and privacy issues using artificial intelligence techniques and cutting-edge technology. Readers interested in learning more about computational intelligence techniques for cybersecurity applications and management will find this book invaluable. They will get insight into potential avenues for future study on these topics and be able to prioritize their efforts better.

As cyberattacks continue to grow in complexity and number, computational intelligence is helping under-resourced security analysts stay one step ahead of threats. Drawing on threat intelligence from millions of studies, blogs, and news articles, computational intelligence techniques such as machine learning and automatic natural language processing quickly provide the means to identify real threats and dramatically reduce response times. The book collects and reports on recent high-quality research addressing different cybersecurity challenges. It: explores the newest developments in the use of computational intelligence and AI for cybersecurity applications provides several case studies related to computational intelligence techniques for cybersecurity in a wide range of applications (smart health care, blockchain, cyber-physical system, etc.) integrates theoretical and practical aspects of computational intelligence for cybersecurity so that any reader, from novice to expert, may understand the book’s explanations of key topics.It offers comprehensive coverage of the essential topics, including: machine learning and deep learning for cybersecurity blockchain for cybersecurity and privacy security engineering for cyber-physical systems AI and data analytics techniques for cybersecurity in smart systems trust in digital systems This book discusses the current state-of-the-art and practical solutions for the following cybersecurity and privacy issues using artificial intelligence techniques and cutting-edge technology. Readers interested in learning more about computational intelligence techniques for cybersecurity applications and management will find this book invaluable. They will get insight into potential avenues for future study on these topics and be able to prioritize their efforts better.

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 CPSsAnalyzes and presents the state of the art of CPSs, cybersecurity, and related technologies and methodologiesHighlights and discusses recent developments and emerging trends in cybersecurity and privacy in CPSsProposes new models, practical solutions, and technological advances related to cybersecurity and privacy in CPSsDiscusses new cybersecurity and privacy models, prototypes, and protocols for CPSsThis 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.

In an increasingly interconnected digital realm, Ubiquitous and Transparent Security: Challenges and Applications emerges as a guiding beacon through the intricate web of modern cybersecurity. This comprehensive tome meticulously dissects the multifaceted challenges faced in safeguarding our digital infrastructure. From the omnipresence of threats to the evolving landscape of vulnerabilities, this book navigates the complexities with a keen eye, offering a panoramic view of the security terrain.Drawing on a rich tapestry of insights from leading experts, this book transcends the traditional boundaries of security discourse. It unveils innovative strategies and technologies, illuminating the path toward a future where security seamlessly integrates with the fabric of our digital existence. With a keen focus on transparency, it delves deep into the mechanisms that enable a clear, holistic view of security, empowering stakeholders to navigate this dynamic landscape with confidence.From cutting-edge applications to the ethical considerations of ubiquitous security, each chapter acts as a guiding compass, providing actionable insights and fostering a deeper understanding of the intricate balance between accessibility and protection. Ubiquitous and Transparent Security is not merely a book; it’s a roadmap for practitioners, policymakers, and enthusiasts alike, navigating the ever-evolving world of cybersecurity.Each chapter within this compendium illuminates the diverse challenges that confront security practitioners, policymakers, and technologists today. It goes beyond the conventional paradigms, exploring the nuanced intersections between accessibility, transparency, and robust protection. Through a rich amalgamation of research-backed insights, real-world case studies, and visionary forecasts, this book offers a holistic understanding of the evolving threat landscape, empowering stakeholders to fortify their defenses proactively.

In an increasingly interconnected digital realm, Ubiquitous and Transparent Security: Challenges and Applications emerges as a guiding beacon through the intricate web of modern cybersecurity. This comprehensive tome meticulously dissects the multifaceted challenges faced in safeguarding our digital infrastructure. From the omnipresence of threats to the evolving landscape of vulnerabilities, this book navigates the complexities with a keen eye, offering a panoramic view of the security terrain.Drawing on a rich tapestry of insights from leading experts, this book transcends the traditional boundaries of security discourse. It unveils innovative strategies and technologies, illuminating the path toward a future where security seamlessly integrates with the fabric of our digital existence. With a keen focus on transparency, it delves deep into the mechanisms that enable a clear, holistic view of security, empowering stakeholders to navigate this dynamic landscape with confidence.From cutting-edge applications to the ethical considerations of ubiquitous security, each chapter acts as a guiding compass, providing actionable insights and fostering a deeper understanding of the intricate balance between accessibility and protection. Ubiquitous and Transparent Security is not merely a book; it’s a roadmap for practitioners, policymakers, and enthusiasts alike, navigating the ever-evolving world of cybersecurity.Each chapter within this compendium illuminates the diverse challenges that confront security practitioners, policymakers, and technologists today. It goes beyond the conventional paradigms, exploring the nuanced intersections between accessibility, transparency, and robust protection. Through a rich amalgamation of research-backed insights, real-world case studies, and visionary forecasts, this book offers a holistic understanding of the evolving threat landscape, empowering stakeholders to fortify their defenses proactively.

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.Features:Offers both theoretical foundations and practical guidance for fostering a secure and protected environment for educational advancements in the digital ageAddresses the need for cybersecurity in education in the context of worldwide changes in education sources and advancements in technologyHighlights the significance of integrating cybersecurity into educational practices and protecting sensitive information to ensure students’ performance prediction systems are not misusedCovers 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

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.Features:Offers both theoretical foundations and practical guidance for fostering a secure and protected environment for educational advancements in the digital ageAddresses the need for cybersecurity in education in the context of worldwide changes in education sources and advancements in technologyHighlights the significance of integrating cybersecurity into educational practices and protecting sensitive information to ensure students’ performance prediction systems are not misusedCovers 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

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 AI techniques to combat cyberbullying. Discussing new models, practical solutions, and technological advances related to detecting and analyzing cyberbullying is based on AI models and other related techniques. Furthermore, the book helps readers understand AI techniques to combat cyberbullying systematically and forthrightly, as well as future insights and the societal and technical aspects of natural language processing (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.

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 AI techniques to combat cyberbullying. Discussing new models, practical solutions, and technological advances related to detecting and analyzing cyberbullying is based on AI models and other related techniques. Furthermore, the book helps readers understand AI techniques to combat cyberbullying systematically and forthrightly, as well as future insights and the societal and technical aspects of natural language processing (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.

Digital transformation, also known as Industry 4.0, Smart Industry, and Smart Manufacturing, is at the top of leaders’ agendas. Such a transformation stimulates innovation in new products and services, the digital transformation of processes, and the creation of new business models and ecosystems. In the world of manufacturing, Industry 4.0 is based on various technological advances, among which we can mainly cite CPS (cyber-physical systems), IoT (Internet of Things), and IoS (internet of services).While engaging, this fourth wave also brings significant challenges for manufacturers. Business operations and the supply chain are becoming more vulnerable to cyber threats.Security Engineering for Embedded and Cyber-Physical Systems is an invaluable resource to discover cybersecurity and privacy techniques for embedded and cyber-physical systems. This book presents the latest studies and research results on all aspects of security engineering for embedded and cyber-physical systems. It also provides a premier interdisciplinary reference for researchers, practitioners, and educators to discover the most recent innovations, trends, concerns, and practical challenges encountered and solutions adopted in security engineering for embedded and cyber-physical systems.The book offers comprehensive coverage of the essential topics, including the following: Embedded and cyber-physical systems threats and vulnerabilities Security engineering techniques for embedded and cyber-physical systems Security engineering for embedded and cyber-physical systems and potential future-use cases Artificial intelligence techniques for cybersecurity and privacy Security engineering for Internet of Things Blockchain for cybersecurity in embedded and cyber-physical systemsThis book comprises a number of state-of-the-art contributions from both scientists and practitioners working in security engineering for embedded and cyber-physical systems. 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 and future trends related to security engineering for embedded and cyber-physical systems.

Digital transformation, also known as Industry 4.0, Smart Industry, and Smart Manufacturing, is at the top of leaders’ agendas. Such a transformation stimulates innovation in new products and services, the digital transformation of processes, and the creation of new business models and ecosystems. In the world of manufacturing, Industry 4.0 is based on various technological advances, among which we can mainly cite CPS (cyber-physical systems), IoT (Internet of Things), and IoS (internet of services).While engaging, this fourth wave also brings significant challenges for manufacturers. Business operations and the supply chain are becoming more vulnerable to cyber threats.Security Engineering for Embedded and Cyber-Physical Systems is an invaluable resource to discover cybersecurity and privacy techniques for embedded and cyber-physical systems. This book presents the latest studies and research results on all aspects of security engineering for embedded and cyber-physical systems. It also provides a premier interdisciplinary reference for researchers, practitioners, and educators to discover the most recent innovations, trends, concerns, and practical challenges encountered and solutions adopted in security engineering for embedded and cyber-physical systems.The book offers comprehensive coverage of the essential topics, including the following: Embedded and cyber-physical systems threats and vulnerabilities Security engineering techniques for embedded and cyber-physical systems Security engineering for embedded and cyber-physical systems and potential future-use cases Artificial intelligence techniques for cybersecurity and privacy Security engineering for Internet of Things Blockchain for cybersecurity in embedded and cyber-physical systemsThis book comprises a number of state-of-the-art contributions from both scientists and practitioners working in security engineering for embedded and cyber-physical systems. 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 and future trends related to security engineering for embedded and cyber-physical systems.

The financial sector is witnessing rapid technological innovations, leading to the emergence of Fintech (financial technologies), revolutionizing national and international financial landscapes. Fintech is expanding and enhancing financial products and services, making them more accessible and affordable while transforming customer relationships, payment methods, financing, and transfers.Advances in Emerging Financial Technology and Digital Money provides a platform for collective reflection, bringing together institutions, policymakers, digital and financial service providers, professionals, and academics from various disciplines. The aim is to clarify the challenges, opportunities, and socio-economic impacts of innovations in finance and technology on citizens and businesses in Morocco, Africa, and worldwide. This comprehensive collection offers valuable insights into the current state and prospects of financial technology and digital money.This book covers all the essential topics, including:AI and Machine Learning in Fintech and BeyondFinancial Inclusion, Literacy, and BehaviorFintech Ecosystems, Collaboration, and AnalysisBlockchain, Security, and SustainabilityFintech Innovations and ApplicationsIn this new book, the authors share their experiences to provide a comprehensive and well‑researched overview of the technologies and concepts that will transform the banking industry as we know it. It aspires to be a useful reference for executive managers, CIOs, Fintech professionals, and researchers interested in exploring and implementing an efficient Fintech strategy. The book also presents selected papers from International Fintech Congress (IFC 2022).

The financial sector is witnessing rapid technological innovations, leading to the emergence of Fintech (financial technologies), revolutionizing national and international financial landscapes. Fintech is expanding and enhancing financial products and services, making them more accessible and affordable while transforming customer relationships, payment methods, financing, and transfers.Advances in Emerging Financial Technology and Digital Money provides a platform for collective reflection, bringing together institutions, policymakers, digital and financial service providers, professionals, and academics from various disciplines. The aim is to clarify the challenges, opportunities, and socio-economic impacts of innovations in finance and technology on citizens and businesses in Morocco, Africa, and worldwide. This comprehensive collection offers valuable insights into the current state and prospects of financial technology and digital money.This book covers all the essential topics, including:AI and Machine Learning in Fintech and BeyondFinancial Inclusion, Literacy, and BehaviorFintech Ecosystems, Collaboration, and AnalysisBlockchain, Security, and SustainabilityFintech Innovations and ApplicationsIn this new book, the authors share their experiences to provide a comprehensive and well‑researched overview of the technologies and concepts that will transform the banking industry as we know it. It aspires to be a useful reference for executive managers, CIOs, Fintech professionals, and researchers interested in exploring and implementing an efficient Fintech strategy. The book also presents selected papers from International Fintech Congress (IFC 2022).

The Art of Cyber Defense: From Risk Assessment to Threat Intelligence offers a comprehensive exploration of cybersecurity principles, strategies, and technologies essential for safeguarding digital assets and mitigating evolving cyber threats. This book provides invaluable insights into the intricacies of cyber defense, guiding readers through a journey from understanding risk assessment methodologies to leveraging threat intelligence for proactive defense measures.Delving into the nuances of modern cyber threats, this book equips readers with the knowledge and tools necessary to navigate the complex landscape of cybersecurity. Through a multidisciplinary approach, it addresses the pressing challenges organizations face in securing their digital infrastructure and sensitive data from cyber‑attacks.This book offers comprehensive coverage of the most essential topics, including:Advanced malware detection and prevention strategies leveraging artificial intelligence (AI)Hybrid deep learning techniques for malware classificationMachine learning solutions and research perspectives on Internet of Services (IoT) securityComprehensive analysis of blockchain techniques for enhancing IoT security and privacyPractical approaches to integrating security analysis modules for proactive threat intelligenceThis book is an essential reference for students, researchers, cybersecurity professionals, and anyone interested in understanding and addressing contemporary cyber defense and risk assessment challenges. It provides a valuable resource for enhancing cybersecurity awareness, knowledge, and practical skills.

In today’s interconnected world, healthcare systems are increasingly turning to digital technologies to enhance patient care and optimize operations. However, this digital transformation presents significant challenges in guaranteeing the security and privacy of sensitive healthcare data. Secure Health: A Guide to Cybersecurity for Healthcare Managers confronts these challenges head-on, offering a comprehensive exploration of the latest advancements and best practices in securing digital health systems.From examining the convergence of Internet of Things (IoT) applications with healthcare privacy and security to investigating ethical hacking frameworks and biometric access management, each chapter delves into valuable insights for safeguarding healthcare data in an ever-more digitized landscape. What sets this book apart is its holistic perspective, encompassing not only technical aspects but also governance standards, the unique cybersecurity challenges of telehealth, and the optimization of healthcare supply chain management.KEY FEATURES:Explores the integration of IoT devices into healthcare and the associated privacy and security risksExamines security frameworks and best practices for e-health information governanceIntroduces a novel framework for ethical hacking in digital healthAnalyzes the effectiveness of different artificial intelligence (AI) models for botnet traffic classificationDelves into the unique challenges of securing telehealth and remote monitoring systemsOffers practical guidance on securing the future of e-health through smart sensor network management

Securing Health: The Convergence of AI and Cybersecurity in Healthcare explores how emerging technologies are revolutionizing modern medicine, ensuring not just innovation but safety and trust in the digital age. As artificial intelligence and cybersecurity rapidly transform industries, this timely book offers an in-depth look at their powerful convergence within the healthcare sector.Organized into four comprehensive parts, the book unveils cutting-edge strategies and practical applications shaping the future of medicine. From blockchain integration and smart wearables to adversarial machine learning and federated learning, each chapter offers critical insights into securing sensitive data, enhancing diagnostic accuracy, and preserving patient privacy.Discover how blockchain is being used to protect medical records and power real-time health monitoring for athletes, with a special focus on deployments in regions like Kurdistan. Learn how AI-driven tools are predicting complex diseases like cerebral palsy and post-transplant diabetes, offering hope for earlier intervention and better outcomes. Dive into the world of deep learning as it redefines medical imaging, from detecting COVID-19 via X-rays to advancing brain MRI segmentation.With contributions grounded in global case studies and research, Securing Health addresses the ethical, technical, and regulatory challenges of modern healthcare technology. Whether you’re a medical professional, tech innovator, or policy maker, this book equips you with the knowledge to navigate and lead in an era where AI and cybersecurity aren’t just enhancements—they’re essentials.Empowering, forward-thinking, and solution-focused, Securing Health is your essential guide to the future of secure, intelligent healthcare.

Tiny Machine Learning Techniques for Constrained Devices explores the cutting-edge field of Tiny Machine Learning (TinyML), enabling intelligent machine learning on highly resource-limited devices such as microcontrollers and edge Internet of Things (IoT) nodes. This book provides a comprehensive guide to designing, optimizing, securing, and applying TinyML models in real-world constrained environments.This book offers thorough coverage of key topics, including:Foundations and Optimization of TinyML: Covers microcontroller-centric power optimization, core principles, and algorithms essential for deploying efficient machine learning models on embedded systems with strict resource constraints.Applications of TinyML in Healthcare and IoT: Presents innovative use cases such as compact artificial intelligence (AI) solutions for healthcare challenges, real-time detection systems, and integration with low-power IoT and low-power wide-area network (LPWAN) technologies.Security and Privacy in TinyML: Addresses the unique challenges of securing TinyML deployments, including privacy-preserving techniques, blockchain integration for secure IoT applications, and methods for protecting resource-constrained devices.Emerging Trends and Future Directions: Explores the evolving landscape of TinyML research, highlighting new applications, adaptive frameworks, and promising avenues for future investigation.Practical Implementation and Case Studies: Offers hands-on insights and real-world examples demonstrating TinyML in action across diverse scenarios, providing guidance for engineers, researchers, and students.This book is an essential resource for embedded system designers, AI practitioners, cybersecurity professionals, and academics who want to harness the power of TinyML for smarter, more efficient, and secure edge intelligence solutions.

Generative AI for Cybersecurity and Privacy offers a groundbreaking exploration of how generative artificial intelligence is reshaping the landscape of cybersecurity and privacy protection in an era of rapid digital transformation. As cyber threats grow in sophistication and scale, this book provides a timely and authoritative guide to harnessing generative AI to safeguard digital ecosystems, secure sensitive data, and address emerging challenges across diverse domains.Spanning a series of expertly curated chapters, this volume delves into cutting-edge advancements and practical applications of generative AI in cybersecurity. It covers critical areas such as AI-driven threat detection and response, privacy-preserving AI models, secure IoT and cloud computing frameworks, and robust defenses for cyber-physical systems, including Smart Cities and wireless networks. The book balances rigorous theoretical foundations with real-world case studies, making it an essential resource for researchers, security professionals, policymakers, and organizational leaders.The book offers comprehensive coverage of key topics, including:• Leveraging generative AI for proactive threat detection, risk analysis, and automated incident response• Innovative approaches to data privacy, compliance, and governance in AI-driven systems• Advanced methodologies for securing IoT, mobile applications, and cloud infrastructures• Practical frameworks for integrating generative AI into cybersecurity strategies for critical infrastructures• Emerging applications of generative AI in personalized, secure digital experiences, such as e-commerce and smart systemsAuthored by a global team of leading researchers and practitioners, this book stands out by not only addressing current cybersecurity and privacy challenges but also proposing forward-thinking, scalable solutions powered by generative AI. Unlike traditional resources, it emphasizes the transformative potential of AI in revolutionizing risk analysis, threat mitigation, and privacy preservation across multiple domains. Whether you’re navigating the complexities of IoT, cloud security, or emerging cyber threats, Generative AI for Cybersecurity and Privacy equips you with the knowledge and tools to build intelligent, secure, and future-ready strategies for a dynamic digital world.

Intelligent and Secure Solutions for Digital Transformation offers a comprehensive exploration of cutting-edge technologies and methodologies at the intersection of cybersecurity and digital innovation. In an era where rapid digital transformation is reshaping industries, this book delivers timely insights into how organizations can secure their infrastructures while embracing intelligent, data-driven change.Spanning 13 forward-thinking chapters, the book delves into topics such as artificial intelligence and machine learning in cybersecurity, secure IoT network design, trust modeling, cloud pentesting, and resilient ICS/SCADA systems in healthcare. It offers both theoretical foundations and real-world applications, making it a practical guide for researchers, professionals, and decision-makers.The book offers comprehensive coverage of key topics, including the following: How AI-driven systems enhance threat detection, response, and automation in security operations Strategic approaches to data privacy, governance, and compliance in the digital age Best practices for integrating DevSecOps and securing the software development lifecycle Intelligent frameworks for securing financial digital transformation and critical infrastructures Simulation-based training environments and cloud pentesting methodologies to bolster cyber resilience Emerging technologies like Deep Neural Collaborative Filtering (DNCF) and blockchain for secure, personalized e-commerce experiencesAuthored by an international panel of experts and researchers, this volume not only identifies current cybersecurity challenges but also presents innovative, scalable, and secure solutions for tomorrow’s digital ecosystem. Whether you’re navigating the complexities of cloud infrastructure, IoT, or critical systems, this book is your guide to building intelligent, secure, and future-ready digital transformation strategies.

This book presents cutting-edge research and advancements in the rapidly evolving fields of cybersecurity, cybercrimes, and smart emerging technologies. It serves as a comprehensive reference guide for the latest trends and challenges in securing our digital world.It highlights critical themes such as the application of AI and machine learning in threat detection and automation, the security implications of blockchain and distributed ledger technologies, safeguarding critical infrastructure and the IoT, addressing data privacy and governance, and advancing malware analysis and detection techniques. It also delves into technological breakthroughs in deep learning for fake account detection, blockchain for secure data exchange, DDoS mitigation strategies, and novel approaches to malware analysis. These findings provide valuable insights into current and emerging cyber threats and effective countermeasures.This book is an essential resource for researchers, cybersecurity professionals, policymakers, and anyone seeking to understand the complex landscape of cybersecurity in the digital age.

The rapid advancement of Generative AI (GenAI) is revolutionizing and transforming a wide range of fields, with a notable impact on digital media and information dissemination. Digital platforms, including social media networks, have already grappled with the widespread proliferation of fake news at an increasing intensity are now facing an even bigger threat from machine-generated and machine-boosted fake news. With the increasing growth and sophistication of GenAI models for malicious ends, fake news is spreading rapidly, finding a fertile ground in digital media for largely unchecked dissemination of incorrect and misleading information. The scalability and diversity of current and emerging GenAI techniques present both opportunities and challenges in the field of fake news. On one hand, the ability to create highly realistic and persuasive content in large quantities with minimal effort, in real-time, makes GenAI a potent tool for spreading fake news and misinformation. On the other hand, those same capabilities can be harnessed to employ GenAI models to detect fake news and therefore hinder the spread. In this context, this book examines how GenAI techniques are contributing to combat fake news in digital media. A particular major challenge in combating fake news with GenAI is the explainability of the models: why a specific piece of news is determined to be fake or genuine. Tracing the origins of a specific piece of generated content—whether it stems from accurate or misleading data—requires extracting, interpreting, and representing in a legible manner vast parameter spaces and training data sources. This complexity of GenAI explainability makes it difficult to hold creators of fake news accountable and to ensure transparency in the content creation process. In this book, the authors focus on the positive potential of Generative AI and provide an overview of how it can be leveraged to combat fake news across diverse digital media platforms.The book is structured around the following key topics:• An overview of Generative AI and its relationship with fake news• How Generative AI can be utilized to fight the spread of fake news• Ensuring that the news we encounter on digital media platforms are not misleading or false• Methods for verifying the authenticity of news sources and tracing the origins of information to ensure its credibility• Practical insights into technological advancements and solutions related to the detection and analysis of fake news.Finally, this book serves as a platform for the community to share innovative research on the use of Generative AI in detecting and mitigating the impact of false information across digital platforms. Readers will explore how Generative AI can revolutionize fact-checking, automate the identification of misleading content, and provide adaptive solutions to prevent the spread of fake news.

Traditional vs Generative AI Pentesting: A Hands-On Approach to Hacking explores the evolving landscape of penetration testing, comparing traditional methodologies with the revolutionary impact of Generative AI. This book provides a deep dive into modern hacking techniques, demonstrating how AI-driven tools can enhance reconnaissance, exploitation, and reporting in cybersecurity assessments.Bridging the gap between manual pentesting and AI automation, this book equips readers with the skills and knowledge to leverage Generative AI for more efficient, adaptive, and intelligent security testing. By blending practical case studies, hands-on exercises, and theoretical insights, it guides cybersecurity professionals, researchers, and students through the next generation of offensive security strategies.The book offers comprehensive coverage of key topics, including:Traditional vs AI-Driven Pentesting: Understanding the evolution of security testing methodologiesBuilding an AI-Powered Pentesting Lab: Leveraging Generative AI tools for reconnaissance and exploitationGenAI in Social Engineering and Attack Automation: Exploring AI-assisted phishing, deepfake attacks, and deception tacticsPost-Exploitation and Privilege Escalation with AI: Enhancing persistence and lateral movement techniquesAutomating Penetration Testing Reports: Utilizing AI for streamlined documentation and risk analysisThis book is an essential resource for ethical hackers, cybersecurity professionals, and academics seeking to explore the transformative role of Generative AI in penetration testing. It provides practical guidance, in-depth analysis, and cutting-edge techniques for mastering AI-driven offensive security.