IoT Security: Fundamentals and Key Enabling Technologies explores the complex interactions between Internet of Things (IoT) and the pressing need for effective cyber security solutions. Diving into real-world case studies to provide insights into implementing efficient security measures that safeguard against online dangers, this book comprehensively analyzes the challenges and possibilities presented by intelligent technologies fueling transformational change, emphasizing the crucial role cybersecurity plays in defending networks, data, and user privacy in an increasingly interconnected digital ecosystem.Coverage includes cryptographic methods, communication networks, device identity and access, data governance and privacy, as well as regulatory frameworks and standards for IoT security. Computer science researchers and engineers will benefit from this compilation of cutting-edge research and practical case studies, learning how to minimize risks for IoT and intelligent technologies.
- Covers emerging application areas in IoT and possible applications of cybersecurity solutions
- Presents cutting-edge blockchain-enabled applications for smart cities, cyber-physical systems, cloud computing, intelligent transportation systems, and network security
- Offers both theoretical insights and applications of blockchain, edge computing, machine learning/AI, penetration testing, and collaborative security approaches
Sprache
Verlagsort
Dateigröße
ISBN-13
978-0-443-34126-7 (9780443341267)
Schweitzer Klassifikation
1. Next-Generation IoT Security: Machine Learning and AI Perspectives2. Image-Based Steganography in IIoT: Enhancing Data Security with CNN, CBAM, and Quantization Techniques3. Securing Patient Data in IoT-Enabled Medical Imaging: A Steganographic Approach4. A Multifactor-based Secure and Efficient Protocol for Authentication and key Key-management in Industrial Internet-of-Things5. Human Factors and Social Engineering in IoT Attacks6. Machine Learning Approaches for Strengthening IoT Security: A Thorough Review7. Modern Privacy Preserving Strategies for IoT Security8. Identity and Access Management for IOT Devices9. A Comprehensive Study on ECC-Based Secure IEEE 802.15.4 Connectivity in IoT Gateways10. Securing MAVLink Communication in the Internet of Drones Using Elliptic Curve Cryptography11. Contemporary Threats and Countermeasures for IoT Systems12. Secure and Efficient Communication for MQTT-based IoT Systems13. Safeguarding Crop Quality: IoT-Enabled Pest Classification via Convolution Neural Network and Transfer Learning14. Leveraging Self-Sovereign Identities for User-Centric Identity Management in Internet of Things15. Securing IoT-Based Pancreatic Cancer Management Systems with Elliptic Curve Cryptography16. Emerging Trends and Security in IoT Devices17. Collaborative Security approaches for IoT Ecosystems18. IoT-Based Cardiovascular Health Monitoring: Ensuring Security with Machine Learning and AI Techniques19. Progressions and Unfilled Gaps in Homomorphic Encryption for Emerging Application Areas: A Comprehensive Literature Review and Preface20. A Short Study on Robotics in Smart Homes: Developing a Robotic Assistant for Everyday Tasks21. Homomorphic Encryption for Modern Data Security: Case Studies of IBM's Comprehensive Solutions and Zama's Cutting-Edge Innovations for IoT22. From Needs to Insights: User Stories Guide Data Processing and Networking for IDMS Development for IOT23. IoT Security Through Machine Learning And AI24. The role of IOT in optimising quick commerce operations: a comprehensive analysis of micro-fulfillment centers and consumer satisfaction25. Securing the Future: Challenges and Threats in IoT Device Security
