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.

The book gives a comprehensive overview of security issues in cyber physical systems by examining and analyzing the vulnerabilities. It also brings current understanding of common web vulnerabilities and its analysis while maintaining awareness and knowledge of contemporary standards, practices, procedures and methods of Open Web Application Security Project. This book is a medium to funnel creative energy and develop new skills of hacking and analysis of security and expedites the learning of the basics of investigating crimes, including intrusion from the outside and damaging practices from the inside, how criminals apply across devices, networks, and the internet at large and analysis of security data. Features Helps to develop an understanding of how to acquire, prepare, visualize security data. Unfolds the unventured sides of the cyber security analytics and helps spread awareness of the new technological boons. Focuses on the analysis of latest development, challenges, ways for detection and mitigation of attacks, advanced technologies, and methodologies in this area. Designs analytical models to help detect malicious behaviour. The book provides a complete view of data analytics to the readers which include cyber security issues, analysis, threats, vulnerabilities, novel ideas, analysis of latest techniques and technology, mitigation of threats and attacks along with demonstration of practical applications, and is suitable for a wide-ranging audience from graduates to professionals/practitioners and researchers.

This book includes original unpublished contributions presented at the International Conference on Data Analytics and Management (ICDAM 2023), held at London Metropolitan University, London, UK, during June 2023. The book covers the topics in data analytics, data management, big data, computational intelligence, and communication networks. The book presents innovative work by leading academics, researchers, and experts from industry which is useful for young researchers and students. The book is divided into four volumes.

This contributed volume provides the state-of-the-art development on security and privacy for cyber-physical systems (CPS) and industrial Internet of Things (IIoT). More specifically, this book discusses the security challenges in CPS and IIoT systems as well as how Artificial Intelligence (AI) and Machine Learning (ML) can be used to address these challenges. Furthermore, this book proposes various defence strategies, including intelligent cyber-attack and anomaly detection algorithms for different IIoT applications. Each chapter corresponds to an important snapshot including an overview of the opportunities and challenges of realizing the AI in IIoT environments, issues related to data security, privacy and application of blockchain technology in the IIoT environment. This book also examines more advanced and specific topics in AI-based solutions developed for efficient anomaly detection in IIoT environments. Different AI/ML techniques including deep representation learning, Snapshot Ensemble Deep Neural Network (SEDNN), federated learning and multi-stage learning are discussed and analysed as well. Researchers and professionals working in computer security with an emphasis on the scientific foundations and engineering techniques for securing IIoT systems and their underlying computing and communicating systems will find this book useful as a reference. The content of this book will be particularly useful for advanced-level students studying computer science, computer technology, cyber security, and information systems. It also applies to advanced-level students studying electrical engineering and system engineering, who would benefit from the case studies.

Handbook of IoT and Blockchain: Methods, solutions, and Recent Advancements includes contributions from around the globe on recent advances and findings in the domain of Internet of Things (IoT) and Blockchain. Chapters include theoretical analysis, practical implications, and extensive surveys with analysis on methods, algorithms, and processes for new product development. IoT and Blockchain are the emerging topics in the current manufacturing scenario.This handbook includes recent advances; showcases the work of research around the globe; offers theoretical analysis and practical implications; presents extensive surveys with analysis, new contributions, and proposals on methods, algorithms, and processes; and also covers recent advances from quantitative and qualitative articles, case studies, conceptual works, and theoretical backing. This handbook will be of interest to graduate students, researchers, academicians, institutions, and professionals that are interested in exploring the areas of IoT and Blockchain.

The Internet of Things (IoT) is a network of devices and smart things that provides a pervasive environment in which people can interact with both the cyber and physical worlds. As the number and variety of connected objects continue to grow and the devices themselves become smarter, users’ expectations in terms of adaptive and self-governing digital environments are also on the rise. Although, this connectivity and the resultant smarter living is highly attractive to general public and profitable for the industry, there are also inherent concerns. The most challenging of these refer to the privacy and security of data, user trust of the digital systems, and relevant authentication mechanisms. These aspects call for novel network architectures and middleware platforms based on new communication technologies; as well as the adoption of novel context-aware management approaches and more efficient tools and devices. In this context, this book explores central issues of privacy, security and trust with regard to the IoT environments, as well as technical solutions to help address them. The main topics covered include:• Basic concepts, principles and related technologies• Security/privacy of data, and trust issues• Mechanisms for security, privacy, trust and authentication• Success indicators, performance metrics and future directions. This reference text is aimed at supporting a number of potential audiences, including• Network Specialists, Hardware Engineers and Security Experts • Students, Researchers, Academics and Practitioners.

The Internet of Things (IoT) refers to the network of interconnected physical devices, vehicles, appliances, and other objects embedded with sensors, software, and network connectivity. These devices can collect and exchange data, enabling them to interact with each other and with their environment. The significance of IoT lies in its ability to enhance efficiency, provide valuable insights through data analytics, and improve automation in various sectors, ranging from healthcare and agriculture to smart cities and industrial processes. The use of IoT devices has proliferated across diverse sectors, including healthcare, agriculture, transportation, manufacturing, and smart homes. These devices offer benefits such as real-time monitoring, predictive maintenance, and improved decision-making. However, the widespread deployment of IoT devices also raises security concerns due to the interconnected nature of these systems. The interconnected nature of IoT introduces security challenges as it expands the attack surface. Vulnerabilities in one device can potentially compromise the entire network, leading to data breaches, unauthorized access, and disruptions to critical services. Common vulnerabilities in IoT devices include insecure firmware, weak authentication mechanisms, insufficient encryption, and susceptibility to physical tampering. These vulnerabilities can be exploited by attackers to gain unauthorized access, manipulate data, or launch attacks on other devices. Insecure firmware can be a major security risk, as it may contain vulnerabilities that can be exploited by attackers. Weak authentication mechanisms can lead to unauthorized access, while the lack of encryption can expose sensitive data to interception and manipulation. Real-world examples of IoT security breaches include incidents where attackers compromised smart home devices, industrial control systems, or healthcare devices to gain unauthorized access, manipulate data, or disrupt operations. These breaches highlight the need for robust security measures in IoT deployments. Securing IoT networks is challenging due to the diverse nature of devices, varying communication protocols, and the sheer volume of data generated. Additionally, many IoT devices have resource constraints, making it difficult to implement robust security measures. Firewalls, intrusion detection systems (IDS), and network segmentation play crucial roles in IoT security. Firewalls help filter and monitor traffic, IDS detects unusual behavior, and network segmentation limits the impact of a breach by isolating compromised devices from the rest of the network. Implementing strong encryption protocols, ensuring secure key management, and regularly updating device firmware are key best practices for safeguarding communication between IoT devices. Additionally, using secure communication protocols such as TLS/SSL enhances the integrity and confidentiality of data. Data generated by IoT devices often includes sensitive information about individuals, their habits, and their environments. Protecting this data is crucial to maintain user privacy and prevent unauthorized access.

This book contains research contributions from leading cyber security scholars from around the world. The authors provide comprehensive coverage of various cyber security topics, while highlighting recent trends. The book also contains a compendium of definitions and explanations of concepts, processes, acronyms, and comprehensive references on existing literature and research on cyber security and analytics, information sciences, decision systems, digital forensics, and related fields. As a whole, the book is a solid reference for dynamic and innovative research in the field, with a focus on design and development of future-ready cyber security measures. Topics include defenses against ransomware, phishing, malware, botnets, insider threats, and many others.

The industrial landscape is changing rapidly, and so is global society. This change is driven by the growing adoption of the Industrial Internet of Things (IIoT) and artificial intelligence (AI) technologies. IIoT and AI are transforming the way industrial engineering is done, enabling new levels of automation, productivity, and efficiency. However, as IIoT and AI become more pervasive in the industrial world, they also offer new security risks that must be addressed to ensure the reliability and safety of critical systems. Industrial Internet of Things Security: Protecting AI-Enabled Engineering Systems in Cloud and Edge Environments provides a comprehensive guide to IIoT security, covering topics such as network architecture, risk management, data security, and compliance. It addresses the unique security challenges that the cloud and edge environments pose, providing practical guidance for securing IIoT networks in these contexts. It includes numerous real-world case studies and examples, providing readers with practical insights into how IIoT security and AI-enabled industrial engineering are being implemented in various industries. Best practices are emphasized for the readers to ensure the reliability, safety, and security of their systems while also learning the latest developments in IIoT security for AI-enabled industrial engineering systems in this rapidly evolving field. By offering step-by-step guidance for the implantation process along with best practices, this book becomes a valuable resource for practitioners and engineers in the areas of industrial engineering, IT, computer engineering, and anyone looking to secure their IIoT network against cyber threats.