Big Data and Blockchain Technology for Secure Iot Applications

1. Auflage 2024
ISBN: 978-1-032-66298-5
Verlag: CRC Press

Buch, Englisch, 214 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 481 g

Reihe: Advances in Digital Technologies for Smart 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.

Zielgruppe

Academic, Postgraduate, Professional Reference, and Undergraduate Advanced

Autoren/Hrsg.

Selvarajan, Shitharth

Mohammad, Gouse Baig

Reddy, Sadda Bharath

Balachandran, Praveen Kumar

Fachgebiete

• Mathematik | Informatik EDV | Informatik Technische Informatik Computersicherheit Schadprogramme (Viren, Trojaner etc.)
• Mathematik | Informatik EDV | Informatik Technische Informatik Computersicherheit Datensicherheit, Datenschutz
• Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung Netzwerksicherheit
• Mathematik | Informatik EDV | Informatik Technische Informatik Computersicherheit Kryptographie, Datenverschlüsselung
• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Drahtlostechnologie
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Ambient Intelligence, RFID, Internet der Dinge
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Automatische Datenerfassung, Datenanalyse

Inhaltsverzeichnis

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.

Über Autor(innen)

Shitharth Selvarajan completed his PhD in the Department of Computers Science & Engineering, Anna University. He completed his Postdoc at The University of Essex, Colchester, UK. He has worked in various institutions with a teaching experience of seven years. Now, he is working as a lecturer in cyber security at Leeds Beckett University, Leeds, UK. He has published in more than 85 International Journals and 20 International & National conferences. He has even published four patents in IPR. He is also an active member of IEEE Computer Society and five more professional bodies. He is also a member of the International Blockchain organization. He is a certified hyperledger expert and certified blockchain developer. His current research interests include Cyber Security, Blockchain, Critical Infrastructure & Systems, Network Security & Ethical Hacking. He is an active researcher, reviewer and editor for many international journals.

Gouse Baig Mohammad is an Associate Professor in the department of Computer Science and Engineering (CSE) at Vardhaman College of Engineering, Hyderabad, India. He received his PhD in Computer Science and Engineering at the Acharya Nagarjuna University in 2020. He received his Master of Technology (M-Tech) from Jawaharlal Nehru Technological University, Hyderabad, India in 2010. He received his Bachelor of Technology (B-Tech) from Kakatiya University, Warangal, India in 2004. He has more than 18 years of teaching and research experience. His research interests are Network Security, Cloud Computing, Computer Networks, Internet of Things. He has published 30+ papers in reputed journals. He also the reviewer of Intelligence Medicine, Journal of Super Computing International Journals, and Intelligent System and Machine Learning Conference Proceedings.

Sadda Bharath Reddy is working as HoD and Associate Professor in the department of CSE, KG Reddy College of Engineering and Technology at, Hyderabad, India. He received his PhD in Computer Science and Engineering at the SRM University in 2019. He received his Master of Technology (M-Tech) from Jawaharlal Nehru Technological University, Kakinada, India in 2012. He received his Bachelor of Technology (B-Tech) from Jawaharlal Nehru Technological University, Ananthapur, India in 2010. He was an Assistant Professor at SSN Engineering College from October 2012 to July 2017. He was an Associate Professor at SSN Engineering College from July 2017to December 2021 and worked as Associate professor in the department of Artificial Intelligence and Machine Learning (AIML) at Vardhaman College of Engineering, Hyderabad His research interests are Artificial Intelligence, Network Security, Cloud Computing, Computer Networks, Internet of Things. He has published 6 SCI journal papers and 15 Scopus journal papers.

Praveen Kumar Balachandran (Senior Member, IEEE) received a B.E. degree in electrical and electronic engineering and an M.E. and Ph.D. degrees in power systems engineering from Anna University, Chennai, India, in 2014, 2016, and 2019, respectively. He is currently working as an Associate Professor with the Department of EEE, Vardhaman College of Engineering, Hyderabad, India. He is a Senior Member in IEEE and mentor in IEEE Power and Energy Society. Dr. Praveen has published 80+ scientific articles in reputed international journals with cumulative impact factor more than 150 and also has 10 patents to his name. His current research interests include solar photovoltaics, IoT, AI and smart grids. He is an active researcher, reviewer and editor for many international journals.