Intelligent Data-Driven Techniques for Security of Digital Assets
1st Edition
Published on 24. March 2025
250 pages
978-1-040-30599-7 (ISBN)
Description
The book covers the role of emerging technologies such as blockchain technology, machine learning, IoT, cryptography, etc., in digital asset management. It further discusses digital asset management applications in different domains such as healthcare, travel industry, image processing, and our daily life activities to maintain privacy and confidentiality.
This book:
* Discusses techniques for securing and protecting digital assets in collaborative environments, where multiple organizations need access to the same resources.
* Explores how artificial intelligence can be used to automate the management of digital assets, and how it can be used to improve security and privacy.
* Explains the role of emerging technology such as blockchain technology for transforming conventional business models.
* Highlights the importance of machine learning techniques in maintaining the privacy and security of data.
* Covers encryption and decryption techniques, their advantages and role in improving the privacy of data.
The text is primarily written for senior undergraduates, graduate students, and academic researchers in diverse fields including electrical engineering, electronics and communications engineering, computer science and engineering, information technology, and business management.
This book:
* Discusses techniques for securing and protecting digital assets in collaborative environments, where multiple organizations need access to the same resources.
* Explores how artificial intelligence can be used to automate the management of digital assets, and how it can be used to improve security and privacy.
* Explains the role of emerging technology such as blockchain technology for transforming conventional business models.
* Highlights the importance of machine learning techniques in maintaining the privacy and security of data.
* Covers encryption and decryption techniques, their advantages and role in improving the privacy of data.
The text is primarily written for senior undergraduates, graduate students, and academic researchers in diverse fields including electrical engineering, electronics and communications engineering, computer science and engineering, information technology, and business management.
More details
Series
Edition
1. Auflage
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Professional and scholarly
Illustrations
12 Tables, black and white; 55 Line drawings, black and white; 4 Halftones, black and white; 59 Illustrations, black and white
File size
14,57 MB
ISBN-13
978-1-040-30599-7 (9781040305997)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Arun Kumar Rana | Sumit Kumar Rana | Vishnu Sharma
Intelligent Data-Driven Techniques for Security of Digital Assets
Book
approx. 06/2026
1st Edition
CRC Press
€69.00
Not yet published
Arun Kumar Rana | Sumit Kumar Rana | Vishnu Sharma
Intelligent Data-Driven Techniques for Security of Digital Assets
Book
approx. 03/2025
1st Edition
CRC Press
€186.20
Not yet published
Persons
Arun Kumar Rana completed his B.Tech degree from Kurukshetra University, M.Tech. and Ph.D. degrees from Maharishi Markandeshwar (Deemed to be University), Mullana, India. His areas of interest include Image Processing, Wireless Sensor Network, Internet of Things, AI, and Machine Learning and Embedded systems. Prof. Rana is currently an Assistant Professor 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 national and international publishers and has been a member of many SCI, Scopus indexed international conferences/symposiums.
Sumit Kumar Rana completed his B.Tech degree from Kurukshetra University, M.Tech. and Ph.D. degrees from Maharishi Markandeshwar (Deemed to be University), Mullana, India. His areas of interest include Blockchain technology, cryptography, cryptocurrency, artificial intelligence etc. Prof. Sumit Kumar Rana is currently an Associate Professor at University institute of Engineering, Chandigarh University, 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 earned her B.Tech. from Kurukshetra University and M.Tech. from Thapar University. She is currently pursuing her PhD (Computer Science) from Lingyas Vidyapeeth. She registered 10 designs and published more than 25 patents. She has published various research papers in reputed international journals and conferences. Her areas of extertise are Broadcast networks, IoT, AI and Blockchain. Prof. Ritu is currently an 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.
Sumit Kumar Rana completed his B.Tech degree from Kurukshetra University, M.Tech. and Ph.D. degrees from Maharishi Markandeshwar (Deemed to be University), Mullana, India. His areas of interest include Blockchain technology, cryptography, cryptocurrency, artificial intelligence etc. Prof. Sumit Kumar Rana is currently an Associate Professor at University institute of Engineering, Chandigarh University, 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 earned her B.Tech. from Kurukshetra University and M.Tech. from Thapar University. She is currently pursuing her PhD (Computer Science) from Lingyas Vidyapeeth. She registered 10 designs and published more than 25 patents. She has published various research papers in reputed international journals and conferences. Her areas of extertise are Broadcast networks, IoT, AI and Blockchain. Prof. Ritu is currently an 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.
Content
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
