Intelligent Data Driven Techniques for Security of Digital Assets

Auteur

Arun Kumar Rana has completed his B.Tech degree from Kurukshetra University, M.Tech. and Ph.D. Degree from Maharishi Markandeshwar (Deemed to be University), Mullana, India. His area of interest includes Image Processing, Wireless Sensor Network, Internet of Things, AI, and Machine Learning and Embedded systems. Prof. Rana is currently working as Assistant Professor 3 at Galgotias College of Engineering and Technology, Greater Noida, India with more than 16 years of experience. Prof. Rana is a collaborative researcher He has published 25 SCI Papers (6 submitted), 30 SCOPUS papers, 25 chapters, 30 Papers in National and International conferences. He has also published 10 books with a national and international publisher and has been a member of many SCI, Scopus indexed international conference/symposium.

Sumit Kumar Rana has completed his B.Tech degree from Kurukshetra University, M.Tech. and Ph.D. Degree from Maharishi Markandeshwar (Deemed to be University), Mullana, India. His area of interest includes Blockchain technology, cryptography, cryptocurrency, artificial intelligence etc. Prof. Sumit Kumar Rana is currently working as Assistant Professor at Panipat institute of engineering and technology, Panipat, India with more than 13 years of experience. Prof. Rana is a collaborative researcher. He has published multiple SCI/SCOPUS papers, book chapters and papers in National and International IEEE conferences. He is also editing multiple books with reputed international publishers.

Vishnu Sharma is Professor and Dean of CSE at ITS College of Engineering, Greater Noida, India. Dr. Sharma completed his BTech, MTech, and PhD (CSE) in 2012 from the Government Autonomous Institute, Madhav Institute of Technology and Science (M.I.T.S.), Gwalior, MP, in Computer Science and Engineering, and was affiliated with the Rajiv Gandhi Technical University, Bhopal, India. His areas of interest are mobile computing, cybersecurity, and advanced mobile computing.

Ritu Dewan has done her B.Tech. from Kurukshetra University and M.Tech. from Thapar University. She is currently pursuing her PhD (Computer Science) from Lingyas Vidyapeeth. She has got registered 10 Design and published more than 25 Patents. She has published various research papers in reputed international journals and conferences. Her expertise area is Broadcast networks, IoT, AI and Blockchain. Prof. Ritu is currently working as Assistant Professor at Galgotias college of engineering and technology, Greater Noida, India with more than 10 years of experience. She is also Guest editor for Special Issue ECSI, Scopus index journal.

Texte du rabat

The book covers the role of emerging technologies such as blockchain technology, machine learning, IoT, cryptography etc. in digital asset management. It discusses digital asset management applications in different domains like healthcare, travel industry, image processing and our daily life activities to maintain onfidentiality.

Contenu

1. Integrating Emerging Technologies for Digital Asset Management. 2. Transforming Healthcare Ecosystems with AI-Based Digital Asset Management. 3. Image Encryption Decryption Using Hybrid Cryptography. 4. Securing Digital Assets: An Intelligent Fusion of Data-Driven Approaches. 5. AI-Driven Digital Asset Management Revolutionizing Healthcare Ecosystem. 6. Smart Security Practices: Harnessing Data-Driven Techniques for Digital Asset Protection. 7. Integration of Blockchain Technology with Travel Industry: A Comprehensive Analysis. 8. Intelligent Data Mining Techniques: RBF Neural Network-Based Intelligent Optimal Control and Adaptive Bound for Collaborative Robot Manipulators Grasping an Object. 9. Emerging Trends of Machine Learning and Internet of Things Based Applications in Day-to-Day Life. 10. Skill Verification System Using Blockchain: Architecture, Challenges and Proposed Model. 11. Integration of Blockchain Technology for Digital Asset Management. 12. Advanced Video Steganography: Integrating Edge Detection with Identical Match Approaches for Optimal Data Hiding. 13. Machine Learning Techniques for IoT Applications in Healthcare: Intelligent Data Drive Flow. 14. Integration of Emerging Technologies for Digital asset Management. 15. Secure and Intelligent data driven technique with IPv6 in Internet of Things Applications