This book first discusses cyber security fundamentals then delves into security threats and vulnerabilities, security vigilance, and security engineering for Internet of Everything (IoE) networks. After an introduction, the first section covers the security threats and vulnerabilities or techniques to expose the networks to security attacks such as repudiation, tampering, spoofing, and elevation of privilege. The second section of the book covers vigilance or prevention techniques like intrusion detection systems, trust evaluation models, crypto, and hashing privacy solutions for IoE networks. This section also covers the security engineering for embedded and cyber-physical systems in IoE networks such as blockchain, artificial intelligence, and machine learning-based solutions to secure the networks. This book provides a clear overview in all relevant areas so readers gain a better understanding of IoE networks in terms of security threats, prevention, and other security mechanisms.

In this comprehensive and cutting-edge volume, Qureshi and Jeon bring together experts from around the world to explore the potential of artificial intelligence models in research and discuss the potential benefits and the concerns and challenges that the rapid development of this field has raised. The international chapter contributor group provides a wealth of technical information on different aspects of AI, including key aspects of AI, deep learning and machine learning models for AI, natural language processing and computer vision, reinforcement learning, ethics and responsibilities, security, practical implementation, and future directions. The contents are balanced in terms of theory, methodologies, and technical aspects, and contributors provide case studies to clearly illustrate the concepts and technical discussions throughout. Readers will gain valuable insights into how AI can revolutionize their work in fields including data analytics and pattern identification, healthcare research, social science research, and more, and improve their technical skills, problem-solving abilities, and evidence-based decision-making. Additionally, they will be cognizant of the limitations and challenges, the ethical implications, and security concerns related to language models, which will enable them to make more informed choices regarding their implementation. This book is an invaluable resource for undergraduate and graduate students who want to understand AI models, recent trends in the area, and technical and ethical aspects of AI. Companies involved in AI development or implementing AI in various fields will also benefit from the book’s discussions on both the technical and ethical aspects of this rapidly growing field.

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 risks. • Examines security frameworks and best practices for e-health information governance. • Introduces a novel framework for ethical hacking in digital health. • Analyzes the effectiveness of different artificial intelligence (AI) models for botnet traffic classification. • Delves into the unique challenges of securing telehealth and remote monitoring systems. • Offers practical guidance on securing the future of e-health through smart sensor network management.

Security Analytics for the Internet of Everything compiles the latest trends, technologies, and applications in this emerging field. It includes chapters covering emerging security trends, cyber governance, artificial intelligence in cybersecurity, and cyber challenges. Contributions from leading international experts are included. The target audience for the book is graduate students, professionals, and researchers working in the fields of cybersecurity, computer networks, communications, and the Internet of Everything (IoE). The book also includes some chapters written in a tutorial style so that general readers can easily grasp some of the ideas.

Cyber threats are ever increasing. Adversaries are getting more sophisticated and cyber criminals are infiltrating companies in a variety of sectors. In today’s landscape, organizations need to acquire and develop effective security tools and mechanisms – not only to keep up with cyber criminals, but also to stay one step ahead. Cyber-Vigilance and Digital Trust develops cyber security disciplines that serve this double objective, dealing with cyber security threats in a unique way. Specifically, the book reviews recent advances in cyber threat intelligence, trust management and risk analysis, and gives a formal and technical approach based on a data tainting mechanism to avoid data leakage in Android systems

In today's complex world, the intersection of inclusion, equity, and organizational efficiency has reached unprecedented levels, driven by events like the great resignation, the emergence of workplace cultures such as #MeToo and Bro culture, and societal movements like Black Lives Matter and pandemic-exposed disparities. This convergence highlights the urgent need for transformative change in healthcare, education, business, and technology. Organizations grapple with issues like racial bias in Artificial Intelligence, fostering workplace psychological safety, and conflict management. The escalating demands for diversity and inclusivity present a pressing challenge, necessitating holistic solutions that harness collective perspectives to drive real progress. Transformational Interventions for Business, Technology, and Healthcare emerges as a beacon for academic scholars seeking actionable insights. Dr. Burrell's two decades of university teaching experience, combined with a prolific record of academic publications and presentations, uniquely positions them to lead the way. The book, through an interdisciplinary lens, addresses the intricate challenges of our times, offering innovative solutions to reshape organizations and promote inclusivity. Covering topics such as workplace intersectionality, technology's impact on equity, and organizational behavior dynamics, this comprehensive resource directly addresses scholars at the forefront of shaping our future. By dissecting problems and providing evidence-based solutions, the book empowers readers to contribute significantly to the ongoing dialogue on inclusion, equity, and organizational development, making it a guiding light as the call for change reverberates across industries.

Internet of Things (IoT) is an ecosystem comprised of heterogeneous connected devices that communicate to deliver capabilities making our living, cities, transport, energy, and other areas more intelligent. This book delves into the different cyber-security domains and their challenges due to the massive amount and the heterogeneity of devices. This book introduces readers to the inherent concepts of IoT. It offers case studies showing how IoT counteracts the cyber-security concerns for domains. It provides suggestions on how to mitigate cyber threats by compiling a catalogue of threats that currently comprise the contemporary threat landscape. It then examines different security measures that can be applied to system installations or operational environment and discusses how these measures may alter the threat exploitability level and/or the level of the technical impact. Professionals, graduate students, researchers, academicians, and institutions that are interested in acquiring knowledge in the areas of IoT and cyber-security, will find this book of interest.

This volume constitutes revised and selected papers presented at the First International Conference on Digital Transformation, Cyber Security and Resilience, DIGILIENCE 2020, held in Varna, Bulgaria, in September - October 2020. The 17 papers presented were carefully reviewed and selected from the 119 submissions. They are organized in the topical sections as follows: ​cyber situational awareness, information sharing and collaboration; protecting critical infrastructures and essential services from cyberattacks; big data and artificial intelligence for cybersecurity; advanced ICT security solutions; education and training for cyber resilience; ICT governance and management for digital transformation.