The Confluence of Cryptography, Blockchain and Artificial Intelligence
Herausgeber: Sharma, Ankita; Verma, Rajat; Nayancy
The Confluence of Cryptography, Blockchain and Artificial Intelligence
Herausgeber: Sharma, Ankita; Verma, Rajat; Nayancy
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This book explores the integration of Cryptography, Blockchain, and Artificial Intelligence (AI) in areas like Big Data, bioinformatics, IoT, 5G, and Industry 4.0.
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This book explores the integration of Cryptography, Blockchain, and Artificial Intelligence (AI) in areas like Big Data, bioinformatics, IoT, 5G, and Industry 4.0.
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Produktdetails
- Produktdetails
- Verlag: Taylor & Francis Ltd
- Seitenzahl: 266
- Erscheinungstermin: 26. Mai 2025
- Englisch
- Abmessung: 234mm x 156mm
- ISBN-13: 9781032693170
- ISBN-10: 1032693177
- Artikelnr.: 72800548
- Herstellerkennzeichnung
- Libri GmbH
- Europaallee 1
- 36244 Bad Hersfeld
- gpsr@libri.de
- Verlag: Taylor & Francis Ltd
- Seitenzahl: 266
- Erscheinungstermin: 26. Mai 2025
- Englisch
- Abmessung: 234mm x 156mm
- ISBN-13: 9781032693170
- ISBN-10: 1032693177
- Artikelnr.: 72800548
- Herstellerkennzeichnung
- Libri GmbH
- Europaallee 1
- 36244 Bad Hersfeld
- gpsr@libri.de
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.
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.
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.
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.
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.