Predictive Computing and Information Security

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Details

This book describes various methods and recent advances in predictive computing and information security. It highlights various predictive application scenarios to discuss these breakthroughs in real-world settings. Further, it addresses state-of-art techniques and the design, development and innovative use of technologies for enhancing predictive computing and information security. Coverage also includes the frameworks for eTransportation and eHealth, security techniques, and algorithms for predictive computing and information security based on Internet-of-Things and Cloud computing. As such, the book offers a valuable resource for graduate students and researchers interested in exploring predictive modeling techniques and architectures to solve information security, privacy and protection issues in future communication.



Includes the latest research, algorithms, and frameworks in the area of predictive computing and information security Highlights real-world implementations of the techniques in predictive computing and information security Provides details of the real-world datasets used in the experiments Includes supplementary material: sn.pub/extras

Autorentext
Dr. P.K. Gupta, a Post-Doctorate from the University of Pretoria, South Africa (2015-16) in the Department of Electrical, Electronic and Computer Engineering, is currently a Assistant Professor (Sr. Grade) at Jaypee University of Information Technology (JUIT), Himachal Pradesh (HP), India. He has more than 15 years of national and international experience in the Information Technology (IT) industry and academics. He has authored a number of research papers in peer-reviewed international journals and conferences. Further, Dr. Gupta is an Associate Editor of IEEE Access. His research areas include Internet-of-Things, Cloud Computing, Sustainable Computing, and Storage networks.

Prof. Vipin Tyagi,Fellow-IETE, is currently working as Professor in Computer Science and Engineering department and Head - Faculty of Mathematical Sciences at Jaypee University of Engineering and Technology, Madhya Pradesh (MP), India. He is Vice President of the Computer Society of India, Region 3, and is associated with the Society's Special Interest Group on Cyber Forensics. He was President of the Engineering Sciences Section of the Indian Science Congress Association for the term 2010-11. He has published a number of papers in various reputed journals and advanced research series, and has attended several national and international conferences. He is an expert in the area of Cyber Security, Cyber Forensics and Image Processing. ** Prof. Sanjay Kumar Singh**is an Associate Professor in the Department of Computer Science and Engineering, Indian Institute of Technology (IIT), Uttar Pradesh (UP), India. He has been certified as a Novell Engineer (CNE) and Novell Administrator (CNA) by Novell Netware, USA. He is a member of LIMSTE, the IEEE, International Association of Engineers and the ISCE. He has over 70 national and international journal publications, book chapters and conference papers to his credit. His research areas include Biometrics,Computer Vision, Image Processing, Video Processing, Pattern Recognition and Artificial Intelligence.



Inhalt

Introduction.- Predictive Computing and Information Security: A Technical Review.- Predictive Computing.- Cloud Based Predictive Computing.- IoT based Predictive Computing.- Information Security.- Cloud Based Information Security.- IoT Based Information Security.- Applications of Predictive Computing.- Appendix.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09789811353215
    • Sprache Englisch
    • Auflage Softcover reprint of the original 1st edition 2017
    • Größe H235mm x B155mm x T11mm
    • Jahr 2018
    • EAN 9789811353215
    • Format Kartonierter Einband
    • ISBN 9811353212
    • Veröffentlichung 12.12.2018
    • Titel Predictive Computing and Information Security
    • Autor P. K. Gupta , S. K. Singh , Vipin Tyagi
    • Gewicht 289g
    • Herausgeber Springer Nature Singapore
    • Anzahl Seiten 184
    • Lesemotiv Verstehen
    • Genre Informatik

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