IoT Security: Fundamentals and Key Enabling Technologies: Hybrid Computational Intelligence for Pattern Analysis and Understanding
Editat de SK Hafizul Islam, Debabrata Samanta, Arup Kumar Pal, Ummer Iqbalen Limba Engleză Paperback – 16 oct 2025
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
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Specificații
ISBN-13: 9780443341250
ISBN-10: 0443341257
Pagini: 556
Dimensiuni: 152 x 229 mm
Greutate: 0.86 kg
Editura: ELSEVIER SCIENCE
Seria Hybrid Computational Intelligence for Pattern Analysis and Understanding
ISBN-10: 0443341257
Pagini: 556
Dimensiuni: 152 x 229 mm
Greutate: 0.86 kg
Editura: ELSEVIER SCIENCE
Seria Hybrid Computational Intelligence for Pattern Analysis and Understanding
Cuprins
1. Next-Generation IoT Security: Machine Learning and AI Perspectives
2. Image-Based Steganography in IIoT: Enhancing Data Security with CNN, CBAM, and Quantization Techniques
3. Securing Patient Data in IoT-Enabled Medical Imaging: A Steganographic Approach
4. A Multifactor-based Secure and Efficient Protocol for Authentication and key Key-management in Industrial Internet-of-Things
5. Human Factors and Social Engineering in IoT Attacks
6. Machine Learning Approaches for Strengthening IoT Security: A Thorough Review
7. Modern Privacy Preserving Strategies for IoT Security
8. Identity and Access Management for IOT Devices
9. A Comprehensive Study on ECC-Based Secure IEEE 802.15.4 Connectivity in IoT Gateways
10. Securing MAVLink Communication in the Internet of Drones Using Elliptic Curve Cryptography
11. Contemporary Threats and Countermeasures for IoT Systems
12. Secure and Efficient Communication for MQTT-based IoT Systems
13. Safeguarding Crop Quality: IoT-Enabled Pest Classification via Convolution Neural Network and Transfer Learning
14. Leveraging Self-Sovereign Identities for User-Centric Identity Management in Internet of Things
15. Securing IoT-Based Pancreatic Cancer Management Systems with Elliptic Curve Cryptography
16. Emerging Trends and Security in IoT Devices
17. Collaborative Security approaches for IoT Ecosystems
18. IoT-Based Cardiovascular Health Monitoring: Ensuring Security with Machine Learning and AI Techniques
19. Progressions and Unfilled Gaps in Homomorphic Encryption for Emerging Application Areas: A Comprehensive Literature Review and Preface
20. A Short Study on Robotics in Smart Homes: Developing a Robotic Assistant for Everyday Tasks
21. Homomorphic Encryption for Modern Data Security: Case Studies of IBM’s Comprehensive Solutions and Zama’s Cutting-Edge Innovations for IoT
22. From Needs to Insights: User Stories Guide Data Processing and Networking for IDMS Development for IOT
23. IoT Security Through Machine Learning And AI
24. The role of IOT in optimising quick commerce operations: a comprehensive analysis of micro-fulfillment centers and consumer satisfaction
25. Securing the Future: Challenges and Threats in IoT Device Security
2. Image-Based Steganography in IIoT: Enhancing Data Security with CNN, CBAM, and Quantization Techniques
3. Securing Patient Data in IoT-Enabled Medical Imaging: A Steganographic Approach
4. A Multifactor-based Secure and Efficient Protocol for Authentication and key Key-management in Industrial Internet-of-Things
5. Human Factors and Social Engineering in IoT Attacks
6. Machine Learning Approaches for Strengthening IoT Security: A Thorough Review
7. Modern Privacy Preserving Strategies for IoT Security
8. Identity and Access Management for IOT Devices
9. A Comprehensive Study on ECC-Based Secure IEEE 802.15.4 Connectivity in IoT Gateways
10. Securing MAVLink Communication in the Internet of Drones Using Elliptic Curve Cryptography
11. Contemporary Threats and Countermeasures for IoT Systems
12. Secure and Efficient Communication for MQTT-based IoT Systems
13. Safeguarding Crop Quality: IoT-Enabled Pest Classification via Convolution Neural Network and Transfer Learning
14. Leveraging Self-Sovereign Identities for User-Centric Identity Management in Internet of Things
15. Securing IoT-Based Pancreatic Cancer Management Systems with Elliptic Curve Cryptography
16. Emerging Trends and Security in IoT Devices
17. Collaborative Security approaches for IoT Ecosystems
18. IoT-Based Cardiovascular Health Monitoring: Ensuring Security with Machine Learning and AI Techniques
19. Progressions and Unfilled Gaps in Homomorphic Encryption for Emerging Application Areas: A Comprehensive Literature Review and Preface
20. A Short Study on Robotics in Smart Homes: Developing a Robotic Assistant for Everyday Tasks
21. Homomorphic Encryption for Modern Data Security: Case Studies of IBM’s Comprehensive Solutions and Zama’s Cutting-Edge Innovations for IoT
22. From Needs to Insights: User Stories Guide Data Processing and Networking for IDMS Development for IOT
23. IoT Security Through Machine Learning And AI
24. The role of IOT in optimising quick commerce operations: a comprehensive analysis of micro-fulfillment centers and consumer satisfaction
25. Securing the Future: Challenges and Threats in IoT Device Security