AI and Cloud Computing

Erscheinungsjahr 2021
ISBN: 978-0-12-821147-2
Verlag: William Andrew Publishing

Buch, Englisch, 244 Seiten, Format (B × H): 152 mm x 229 mm, Gewicht: 510 g

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.

Zielgruppe

<p>Undergraduates, graduates, academics and researchers in the field of Advances in Computers</p>

Autoren/Hrsg.

Weitere Mitwirkende

Namasudra, Suyel

Wu, Sheng

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung Cloud-Computing, Grid-Computing

Inhaltsverzeichnis

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

Über Autor(innen)

Wu, Sheng
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.

Namasudra, Suyel
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.