Authentication Technologies for Cloud Computing, IoT and Big Data

ISBN 10: 1785615564 / ISBN 13: 9781785615566

Published by Institution of Engineering and Technology, GB, 2019

About this Item

Critical systems and infrastructure rely heavily on ICT systems and networks where security issues are a major concern. Authentication methods verify that messages come from trusted sources and guarantee the smooth flow of information and data. In this edited reference, the authors present state-of-art research and development in authentication technologies including challenges and applications for Cloud Technologies, IoT and Big Data. Topics covered include authentication; cryptographic algorithms; digital watermarking; biometric authentication; block ciphers with applications in IoT; identification schemes for Cloud and IoT; authentication issues for Cloud applications; cryptography engines for Cloud based on FPGA; and data protection laws.

Seller Inventory # LU-9781785615566

Bibliographic Details

• Title: Authentication Technologies for Cloud Computing, IoT and Big Data
• Publisher: Institution of Engineering and Technology, GB
• Publication Date: 2019
• Language: English
• ISBN 10: 1785615564
• ISBN 13: 9781785615566
• Binding: Hardback
• Condition: New

About this title

Synopsis

Critical systems and infrastructure rely heavily on ICT systems and networks where security issues are a major concern. Authentication methods verify that messages come from trusted sources and guarantee the smooth flow of information and data. In this edited reference, the authors present state-of-art research and development in authentication technologies including challenges and applications for Cloud Technologies, IoT and Big Data. Topics covered include authentication; cryptographic algorithms; digital watermarking; biometric authentication; block ciphers with applications in IoT; identification schemes for Cloud and IoT; authentication issues for Cloud applications; cryptography engines for Cloud based on FPGA; and data protection laws.

About the Authors

Dr. Yasser M. Alginahi is a Visiting Scholar at the University of Windsor, Department of Electrical and Computer Engineering, Canada. Previously, he was an Associate Professor at the Department of Computer Science, Taibah University, Saudi Arabia. He is a licensed Professional Engineer and a member of Professional Engineers Canada, a member of IAENG, a senior member of IEEE and IACSIT. His current research interests cover information security, document image analysis, pattern recognition, OCR, modeling and simulation, intelligent systems, and numerical computations.

Dr. Muhammad Nomani Kabir is a Senior Lecturer at the Faculty of Computer Systems & Software Engineering, University Malaysia Pahang (UMP), Malaysia. He earned a PhD in Computer Science and an MSc in Computational Sciences in Engineering from the University of Braunschweig, Germany. He is a member of IAENG. His research interests include information security, modelling and simulation, computational methods, image processing and computer networks.