AI and Cloud Computing

1st Edition, Volume 120 - January 13, 2021
Imprint: Academic Press
Editors: Suyel Namasudra, Sheng Wu
Language: English
Hardback ISBN:
9 7 8 - 0 - 1 2 - 8 2 1 1 4 7 - 2
eBook ISBN:
9 7 8 - 0 - 1 2 - 8 2 1 1 4 8 - 9

AI and Cloud Computing, Volume 120 in the Advances in Computers series, highlights new advances in the field, with this updated volume presenting interesting chapters on topics inc… Read more

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AI and Cloud Computing, Volume 120 in the Advances in Computers series, highlights new advances in the field, with this updated volume presenting interesting chapters on topics including A Deep-forest based Approach for Detecting Fraudulent Online Transaction, Design of Cyber-Physical-Social Systems with Forensic-awareness Based on Deep Learning, Review on Privacy-preserving Data Comparison Protocols in Cloud Computing, Fingerprint Liveness Detection Using an Improved CNN with the Spatial Pyramid Pooling Structure, Protecting Personal Sensitive Data Security in the Cloud with Blockchain, and more.

Cover image
Title page
Table of Contents
Copyright
Contributors
Preface
Chapter One: A Deep-forest based approach for detecting fraudulent online transaction
Abstract
1: Introduction
2: What is deep forest
3: Machine learning for detecting fraud online transaction
4: Pressing issues in detecting fraud online transaction
5: Case study: Deep forest in detecting online transaction fraud
6: Summary of key lessons learned
7: Conclusion
Acknowledgments
Chapter Two: Design of cyber-physical-social systems with forensic-awareness based on deep learning
Abstract
1: Introduction
2: Issues in discussion
3: Forgery detection with deep learning
4: Our scheme: Toward a universal system of forgery detection
5: Experiment results
6: Summary of key contribution of the research
7: Research directions in the field
8: Conclusion
Acknowledgments
Chapter Three: Review on privacy-preserving data comparison protocols in cloud computing
Abstract
1: Introduction
2: Issues in discussion
3: Comparison protocols for curious data owners (CDO)
4: Comparison protocols for curious cloud servers (CCS) with a trusty part
5: Comparison protocols for CCS without trusty part
6: Summary of key lessons learned/contributions of the research
7: Research directions in the field
8: Conclusion
Acknowledgments
Appendix: Key terminology and definitions
Chapter Four: Provably secure verifier-based password authenticated key exchange based on lattices
Abstract
1: Introduction
2: Overview of AKE
3: Major component technology in VPAKE
4: Theoretical background of lattice
5: Toward a new VPAKE based on lattice
6: Security model and security proof of our VPAKE protocol
7: Proof of Theorem 3
8: Summary of key lessons learned and research directions in the field
9: Conclusion
Acknowledgment
Chapter Five: Fingerprint liveness detection using an improved CNN with the spatial pyramid pooling structure
Abstract
1: Introduction
2: Definition of FLD and classification of FLD methods
3: Construction of our FLD
4: Experimental results
5: Summary of contributions of our research
6: Research directions in the field
7: Conclusion
Acknowledgments
Chapter Six: Protecting personal sensitive data security in the cloud with blockchain
Abstract
1: Introduction
2: Issues in discussion
3: Our model: Protecting personal sensitive data security in the cloud with blockchain
4: Security analysis and performance evaluation of our model
5: Summary of contributions of the research
6: Conclusion
Acknowledgments

Suyel Namasudra

Suyel Namasudra has received Ph.D. degree from the National Institute of Technology Silchar, Assam, India. He was a post-doctorate fellow at the International University of La Rioja (UNIR), Spain. Currently, Dr. Namasudra is working as an assistant professor in the Department of Computer Science and Engineering at the National Institute of Technology Agartala, Tripura, India. Before joining the National Institute of Technology Agartala, Dr. Namasudra was an assistant professor in the Department of Computer Science and Engineering at the National Institute of Technology Patna, Bihar, India. His research interests include blockchain technology, cloud computing, DNA computing, and information security. Dr. Namasudra has edited 7 books, 5 patents, and 85 publications in conference proceedings, book chapters, and refereed journals like IEEE TII, IEEE TCE, IEEE T-ITS, IEEE TSC, IEEE TCSS, IEEE TCBB, ACM TOMM, ACM TOSN, ACM TALLIP, FGCS, CAEE, and many more. He is the Editor-in-Chief of the Cloud Computing and Data Science (ISSN: 2737-4092 (online)) journal. Dr. Namasudra has served as a Lead Guest Editor/Guest Editor in many reputed journals like IEEE TCE (IEEE, IF: 4.3), IEEE TBD (IEEE, IF: 7.2), ACM TOMM (ACM, IF: 3.144), MONET (Springer, IF: 3.426), CAEE (Elsevier, IF: 3.818), CAIS (Springer, IF: 4.927), CMC (Tech Science Press, IF: 3.772), Sensors (MDPI, IF: 3.576), and many more. He has also participated in many international conferences as an organizer and session chair. Dr. Namasudra is a senior member of IEEE, and a member of ACM and IEI. He has been featured in the list of the top 2% scientists in the world in 2021, 2022, and 2023. His h-index is 37.

Affiliations and expertise

Department of Computer Science and Engineering, National Institute of Technology Agartala, Tripura, India

Sheng Wu

Dr. Sheng Wu holds Ph.D. in Science, Technology and Innovation Management, is also an attorney in technology transfer. Her research focus includes Big Data and New Generation Artificial Intelligence. Since 2008 to present, Dr. Wu has worked in United Nations System, including research in Science/Technology and Innovation field at UNESCO, UNESCAP, etc. and has intensive experience leading research capacity accelerating projects at national and international level.

Affiliations and expertise

UN/UN Agency, Geneva, Switzerland

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