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.

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 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.

This book presents a unique, step-by-step approach for monitoring, detecting, analyzing and mitigating complex network cyber threats. It includes updated processes in response to asymmetric threats, as well as descriptions of the current tools to mitigate cyber threats. Featuring comprehensive computer science material relating to a complete network baseline with the characterization hardware and software configuration, the book also identifies potential emerging cyber threats and the vulnerabilities of the network architecture to provide students with a guide to responding to threats. The book is intended for undergraduate and graduate college students who are unfamiliar with the cyber paradigm and processes in responding to attacks.

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.

It is becoming increasingly important to design and develop adaptive, robust, scalable, reliable, security and privacy mechanisms for IoT applications and for Industry 4.0 related concerns. This book serves as a useful guide for researchers and industry professionals and will help beginners to learn the basics to the more advanced topics. Along with exploring security and privacy issues through the IoT ecosystem and examining its implications to the real-world, this book addresses cryptographic tools and techniques and presents the basic and high-level concepts that can serve as guidance for those in the industry as well as help beginners get a handle on both the basic and advanced aspects of security related issues. The book goes on to cover major challenges, issues, and advances in IoT and discusses data processing as well as applications for solutions, and assists in developing self-adaptive cyberphysical security systems that will help with issues brought about by new technologies within IoT and Industry 4.0. This edited book discusses the evolution of IoT and Industry 4.0 and brings security and privacy related technological tools and techniques onto a single platform so that researchers, industry professionals, graduate, postgraduate students, and academicians can easily understand the security, privacy, challenges and opportunity concepts and make then ready to use for applications in IoT and Industry 4.0.