Internet of Things Security: Attacks, Tools, Techniques and Challenges delves into the essential aspects of safeguarding devices within the IoT ecosystem. This book provides a comprehensive overview of the IoT architecture, its vast applications, and the difficulties in securing such an expansive infrastructure. Readers gain insight into various security vulnerabilities present at each layer of IoT architecture, alongside viable security solutions. The book thoroughly examines distinct access control and authentication strategies, including intrusion detection systems (IDS), misuse detection, anomaly detection, DNS-based security solutions, and the implementation of artificial intelligence (AI) in cognitive IoT security.
Additionally, the book explores microservice architecture for distributed IoT security and blockchain-based IoT security solutions.
1. Chapter One: Introduction to the Internet of Things (IoT) - p. 3 2. Chapter Two: Vulnerabilities, attacks, and security aspects on the Internet of Things (IoT) - p. 33 3. Chapter Three: IoT security challenges and future directions - p. 61 4. Part Two: Authentication and detection mechanisms - p. P2 5. Chapter Four: IoT access control and authentication schemes - p. 87 6. Chapter Five: Approaches for misuse and anomaly detection in IoT ecosystems - p. 107 7. Chapter Six: A hybrid approach for analyzing and securing anomalies in network traffic data using Internet of Things and deep learning - p. 129 8. Part Three: Advances in IoT security - p. P3 9. Chapter Seven: Enhancing cyber resilience in resource-constrained devices - p. 149 10. Chapter Eight: Microservice architecture for securing distributed IoT - p. 175 11. Chapter Nine: Physically unclonable functions (PUF)-based IoT security: challenges and opportunities - p. 201 12. Chapter Ten: Applications of AI/ML and blockchain in IoT security - p. 219 13. Index - p. 241
Internet of Things Security: Attacks, Tools, Techniques and Challenges delves into the essential aspects of safeguarding devices within the IoT ecosystem. This book provides a comprehensive overview of the IoT architecture, its vast applications, and the difficulties in securing such an expansive infrastructure. Readers gain insight into various security vulnerabilities present at each layer of IoT architecture, alongside viable security solutions. The book thoroughly examines distinct access control and authentication strategies, including intrusion detection systems (IDS), misuse detection, anomaly detection, DNS-based security solutions, and the implementation of artificial intelligence (AI) in cognitive IoT security.
Additionally, the book explores microservice architecture for distributed IoT security and blockchain-based IoT security solutions.
1. Chapter One: Introduction to the Internet of Things (IoT) - p. 3 2. Chapter Two: Vulnerabilities, attacks, and security aspects on the Internet of Things (IoT) - p. 33 3. Chapter Three: IoT security challenges and future directions - p. 61 4. Part Two: Authentication and detection mechanisms - p. P2 5. Chapter Four: IoT access control and authentication schemes - p. 87 6. Chapter Five: Approaches for misuse and anomaly detection in IoT ecosystems - p. 107 7. Chapter Six: A hybrid approach for analyzing and securing anomalies in network traffic data using Internet of Things and deep learning - p. 129 8. Part Three: Advances in IoT security - p. P3 9. Chapter Seven: Enhancing cyber resilience in resource-constrained devices - p. 149 10. Chapter Eight: Microservice architecture for securing distributed IoT - p. 175 11. Chapter Nine: Physically unclonable functions (PUF)-based IoT security: challenges and opportunities - p. 201 12. Chapter Ten: Applications of AI/ML and blockchain in IoT security - p. 219 13. Index - p. 241
