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Intelligent Data-Driven Techniques for Security of Digital Assets (Intelligent Data-Driven Systems and Artificial Intelligence) - Tapa dura
Sinopsis
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.
"Sinopsis" puede pertenecer a otra edición de este libro.
Acerca del autor
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.
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Intelligent Data Driven Techniques for Security of Digital Assets
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Intelligent Data-Driven Techniques for Security of Digital Assets (Hardcover)
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Taylor & Francis Ltd, London, 2025
ISBN 10: 103274488X
ISBN 13: 9781032744889
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Hardcover. Condición: new. Hardcover. 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. 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Nº de ref. del artículo: 9781032744889
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Intelligent Data Driven Techniques for Security of Digital Assets
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Intelligent Data-Driven Techniques for Security of Digital Assets (Hardcover)
Publicado por
Taylor & Francis Ltd, London, 2025
ISBN 10: 103274488X
ISBN 13: 9781032744889
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Librería: Grand Eagle Retail, Fairfield, OH, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Hardcover. Condición: new. Hardcover. 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9781032744889
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Intelligent Data Driven Techniques for Security of Digital Assets
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Imagen de archivo
Intelligent Data-Driven Techniques for Security of Digital Assets (Hardcover)
Publicado por
Taylor & Francis Ltd, London, 2025
ISBN 10: 103274488X
ISBN 13: 9781032744889
Nuevo
Tapa dura
Librería: AussieBookSeller, Truganina, VIC, Australia
Calificación del vendedor: 5 de 5 estrellas
Hardcover. Condición: new. Hardcover. 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. 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Nº de ref. del artículo: 9781032744889
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