ISBN13: | 9781032662985 |
ISBN10: | 10326629811 |
Binding: | Hardback |
No. of pages: | 214 pages |
Size: | 234x156 mm |
Language: | English |
Illustrations: | 48 Illustrations, black & white; 48 Line drawings, black & white; 10 Tables, black & white |
700 |
Electrical engineering and telecommunications, precision engineering
Energy industry
Data management in computer systems
Computer architecture, logic design
Computer networks in general
Database management softwares
Privacy, data security
Safety and health aspects of computing
Computing's and information technology's impact on society
Environmental sciences
Media and information industry
Internet in general
Internet services (online shopping, banking)
Electrical engineering and telecommunications, precision engineering (charity campaign)
Energy industry (charity campaign)
Data management in computer systems (charity campaign)
Computer architecture, logic design (charity campaign)
Computer networks in general (charity campaign)
Database management softwares (charity campaign)
Privacy, data security (charity campaign)
Safety and health aspects of computing (charity campaign)
Computing's and information technology's impact on society (charity campaign)
Environmental sciences (charity campaign)
Media and information industry (charity campaign)
Internet in general (charity campaign)
Internet services (online shopping, banking) (charity campaign)
Big Data and Blockchain Technology for Secure IoT Applications
GBP 110.00
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Big Data and Blockchain Technology for Secure IoT Applications presents a comprehensive exploration of the intersection between two transformative technologies: big data and blockchain, and their integration into securing Internet of Things (IoT) applications.
Big Data and Blockchain Technology for Secure IoT Applications presents a comprehensive exploration of the intersection between two transformative technologies: big data and blockchain, and their integration into securing Internet of Things (IoT) applications. As the IoT landscape continues to expand rapidly, the need for robust security measures becomes paramount to safeguard sensitive data and ensure the integrity of connected devices. This book delves into the synergistic potential of leveraging big data analytics and blockchain?s decentralized ledger system to fortify IoT ecosystems against various cyber threats, ranging from data breaches to unauthorized access.
Within this groundbreaking text, readers will uncover the foundational principles underpinning big data analytics and blockchain technology, along with their respective roles in enhancing IoT security. Through insightful case studies and practical examples, this book illustrates how organizations across diverse industries can harness the power of these technologies to mitigate risks and bolster trust in IoT deployments. From real?time monitoring and anomaly detection to immutable data storage and tamper?proof transactions, the integration of big data and blockchain offers a robust framework for establishing secure, transparent, and scalable IoT infrastructures.
Furthermore, this book serves as a valuable resource for researchers, practitioners, and policymakers seeking to navigate the complexities of IoT security. By bridging the gap between theory and application, this book equips readers with the knowledge and tools necessary to navigate the evolving landscape of interconnected devices while safeguarding against emerging cyber threats. With contributions from leading experts in the field, it offers a forward?thinking perspective on harnessing the transformative potential of big data and blockchain to realize the full promise of the IoT securely.
About the Editors. List of Contributors. 1. Scheduling Internet of Things Tasks in Cloud and Fog Computing Environment using Cuckoo Search Optimization. 2. SDN-IoT Integration with Network Function Virtualization for Improved Performance. 3. Decentralized Trust: A Framework for Ensuring Data Integrity in IoT using Blockchain. 4. Blockchain's Impetus for Secure IoT-enabled Applications in Smart City. 5. A Lightweight Enhanced KP-ABE System Cyber-Physical Security and Privacy Advancement in Healthcare Networks. 6. Machine Learning Unleashed: A Paradigm Shift in Blockchain Intelligence. 7. Securing HPC Data Clusters with In-Memory Blockchain: A Provenance Enhancement Approach. 8. DeepShield: A Deep Learning Approach for Robust Fraud Detection in Credit Financial Transactions. 9. Integrating Blockchain with Big Data Analytics for Enhanced IoT Security and Efficiency. 10. Machine Learning Techniques for Blockchain-Technology: A Review of Recent Advances and Unresolved Issues. 11. HSMAO: Efficient Resource Allocation in Cloud-Fog Internet of Things (IoT) Networks using Metaheuristic Scheduling Algorithm.