The Confluence of Cryptography, Blockchain and Artificial Intelligence

1. Auflage 2025
ISBN: 978-1-032-69317-0
Verlag: Taylor & Francis Ltd

Buch, Englisch, 272 Seiten, Format (B × H): 156 mm x 234 mm

With blockchain underpinning cryptocurrencies and improving IoT security, this book uncovers the evolution of blockchain (1.0 to 4.0) and its applications. It also introduces AI, discussing its development, paradigms, and industry-wide impact. The book explores the integration of cryptography, blockchain, and artificial intelligence (AI) in areas such as big data, bioinformatics, IoT, 5G, and Industry 4.0. It highlights how these technologies drive the digital revolution, enabling multi-agent systems, autonomous models, and enhanced security.

Zielgruppe

Academic, Postgraduate, and Undergraduate Advanced

Autoren/Hrsg.

Sharma, Ankita

Nayancy

Verma, Rajat

Fachgebiete

• Mathematik | Informatik EDV | Informatik Technische Informatik Computersicherheit Kryptographie, Datenverschlüsselung
• Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung Netzwerksicherheit
• Rechtswissenschaften Öffentliches Recht Verwaltungsrecht Allgemeines Informationsrecht, Datenschutzrecht
• Mathematik | Informatik EDV | Informatik Informatik
• Rechtswissenschaften Öffentliches Recht Staats- und Verfassungsrecht

Inhaltsverzeichnis

1. The Introduction of Cryptography, Blockchain, and Artificial Intelligence in the Modern World of Computing. 2. Blockchain 1.0 to Blockchain 4.0 – Evolution, Transformation and Comparison of Different Generations. 3. Traditional AI vs Modern AI. 4. Enhancing the Security of Resource Constraints Devices Using Blockchain. 5. Transforming Vulnerability into Trust: Modernizing Government Document Dissemination with Blockchain and Machine Learning Technology. 6. Detection of Ovarian Cancer Using Improved Deep Learning Model. 7. Role of AI in Supply Chain Management and Bio-Informatics Sector. 8. Smart Contracts and Decentralized Applications. 9. An Intelligent Approach Using Data Analysis Techniques for the Automobile Industry. 10. IoT Integration and Cryptographically Secured Solutions towards Intelligent Elevator Systems. 11. Artificial Intelligence (AI) enabled Digital Twin for Smart Manufacturing. 12. Application of Cryptography and Deep Learning for Smart Environments.

Über Autor(innen)

Ankita is an Assistant Professor in Computer Science at Pranveer Singh Institute of Technology, Kanpur, India. She has a B.E. (2013) in Computer Science and Engineering from Nagpur University and MTech (2016) and PhD (2020) degrees from Birla Institute of Technology, Mesra, Ranchi, India in Computer Science and Engineering. Her fields of interests are grid computing, artificial intelligence and computational intelligence. She has authored research papers in journals and conference proceedings, and book chapters indexed in Scopus and SCIs. She has been assigned as reviewer for SCI indexed journals and IEEE conferences.

Nayancy is an Assistant Professor in the Department of Computer Science and Engineering, Pranveer Singh Institute of Technology, Kanpur, India. She has a PhD from Birla Institute of Technology, Mesra, Ranchi, India. Her research interests include cryptography, lightweight cryptography, blockchain and data mining. She has research papers published in reputed journals, conference proceedings and has also authored a reference book.

Rajat Verma has a B.Tech. (Hons) degree in Computer Science and Engineering from Dr A.P.J. Abdul Kalam Technical University, Lucknow, India. He has MTech and PhD degrees in Computer Science and Engineering from Amity University, Uttar Pradesh, India. He is an Associate Professor in the Department of Computer Science and Engineering at Pranveer Singh Institute of Technology, Kanpur, India. He has over 50 papers published in reputed journals, international conferences and book chapters on blockchain, IoT, security and machine learning. He has published seven patents, one of which received a grant from the Australian Government. He has also received the Platinum Developer Award at the REC-BOOTATHON for developing 5 Virtual Lab Experiments in coordination with IIT Bombay and IIT Kanpur. His areas of interest are blockchain, cyber security, computer networks, data mining, and IoT. He has been assigned as a reviewer for a few SCI-indexed journals and IEEE conferences.