AI and Cloud Computing

Author:   Suyel Namasudra (Department of Computer Science and Engineering, National Institute of Technology Agartala, Tripura, India) ,  Sheng Wu (UN/UN Agency, Geneva, Switzerland) ,  Sheng Wu (UN/UN Agency, Geneva, Switzerland) ,  Sheng Wu (UN/UN Agency, Geneva, Switzerland)
Publisher:   Elsevier Science Publishing Co Inc
ISBN:  

9780128211472


Pages:   244
Publication Date:   15 January 2021
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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AI and Cloud Computing


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Overview

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.

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Author:   Suyel Namasudra (Department of Computer Science and Engineering, National Institute of Technology Agartala, Tripura, India) ,  Sheng Wu (UN/UN Agency, Geneva, Switzerland) ,  Sheng Wu (UN/UN Agency, Geneva, Switzerland) ,  Sheng Wu (UN/UN Agency, Geneva, Switzerland)
Publisher:   Elsevier Science Publishing Co Inc
Imprint:   Academic Press Inc
Weight:   0.510kg
ISBN:  

9780128211472


ISBN 10:   0128211474
Pages:   244
Publication Date:   15 January 2021
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

1. A Deep-forest based Approach for Detecting Fraudulent Online Transaction Zhaohui Zhang 2. Design of Cyber-Physical-Social Systems with Forensic-awareness Based on Deep Learning Bin Yang 3. Review of Privacy-preserving Data Comparison Protocols in Cloud Computing Xingming Sun 4. Provably Secure Verifier-based Password Authenticated Key Exchange from Lattices Yongli Tang 5. Fingerprint Liveness Detection Using an Improved CNN with the Spatial Pyramid Pooling Structure Q.M. Jonathan Wu 6. Protecting Personal Sensitive Data Security in the Cloud with Blockchain Zhen Yang

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Author Information

Dr. Suyel Namasudra is 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, and a post-doctorate fellow at the International University of La Rioja (UNIR), Spain. He has received Ph.D. degree in Computer Science and Engineering from the National Institute of Technology Silchar, Assam, India. His research interests include blockchain technology, cloud computing, IoT, and DNA computing. Dr. Namasudra has edited 4 books, 5 patents, and 60 publications in conference proceedings, book chapters, and refereed journals like IEEE TII, IEEE T-ITS, IEEE TSC, IEEE TCSS, ACM TOMM, ACM TALLIP, FGCS, CAEE, and many more. He has served as a Lead Guest Editor/Guest Editor in many reputed journals like ACM TOMM (ACM, IF: 3.144), 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. Dr. Namasudra has participated in many international conferences as an Organizer and Session Chair. He is a member of IEEE, ACM, and IEI. Dr. Namasudra has been featured in the list of the top 2% scientists in the world in 2021 and 2022, and his h-index is 25. 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.

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