Paperback : HK$350.00
This book focuses on green computing-based network security techniques and addresses the challenges involved in practical implementation. It also explores the idea of energy-efficient computing for network and data security and covers the security threats involved in social networks, data centers, IoT, and biomedical applications.
Green Computing in Network Security: Energy Efficient Solutions for Business and Home includes analysis of green-security mechanisms and explores the role of green computing for secured modern internet applications. It discusses green computing-based distributed learning approaches for security and emphasizes the development of green computing-based security systems for IoT devices.
Written with researchers, academic libraries, and professionals in mind so they can get up to speed on network security, the challenges, and implementation processes.
This book focuses on green computing-based network security techniques and addresses the challenges involved in practical implementation. It also explores the idea of energy-efficient computing for network and data security and covers the security threats involved in social networks, data centers, IoT, and biomedical applications.
Green Computing in Network Security: Energy Efficient Solutions for Business and Home includes analysis of green-security mechanisms and explores the role of green computing for secured modern internet applications. It discusses green computing-based distributed learning approaches for security and emphasizes the development of green computing-based security systems for IoT devices.
Written with researchers, academic libraries, and professionals in mind so they can get up to speed on network security, the challenges, and implementation processes.
1. Analysis of Green-Security Mechanisms for Future Networks. 2. Design of Green-Aware Security Mechanisms for Modern Internet Applications. 3. Data Security in Green Computing Platforms for Biomedical Systems. 4. Green Computing for Cryptography and Cryptanalysis. 5. Distributed Learning Approaches for Security. 6. Green –Aware ML and Data Mining for Network Protection. 7. Privacy Preserving Green Computing for Social Networks. 8. Malicious Use of Machine Learning in Green ICT. 9. Green Computing Based IoT Security.
Deepak Kumar Sharma received the B.Tech. in Computer Science & Engineering from G. G. S. Indraprastaha University, M. E. in Computer Technology & Applications, and Ph.D in Computer Engineering from University of Delhi, India. He is presently working as Assistant Professor in the Division of Information Technology, Netaji Subhas Institute of Technology, Dwarka, New Delhi, India. His research interests include opportunistic networks, wireless ad hoc networks, sensor networks and network security.
Koyel Datta Gupta is a professional with an experience of 17+ years in academics. She has completed her B. Tech in Computer Science and Engineering from the University of Kalyani, West Bengal in 2003 and is a gold medalist in M.Tech (Computer Technology) from Jadavpur University, Kolkata (2007). She received her Doctorate in 2015 from Jamia Milia Islamia, New Delhi. Her areas of research include Network Security, Digital Signal Processing, Pattern Recognition and Machine Learning. Dr. Koyel Datta Gupta is currently working as Associate Professor in Maharaja Surajmal Institute of Technology (MSIT) (under the IP University), New Delhi. She is currently the Head of the Department of the Computer Science and Engineering Department of the institute. She has held various other positions in MSIT for the past 12+ years. She has published more than 25 research papers in reputed Journals and conferences proceedings and has also authored books.
Rinky Dwivedi has completed her B.Tech in Computer Science and Engineering from Guru Gobind Singh Indraprastha University, Delhi in 2004 and M.E. in Computer Technology and Application from Delhi College of Engineering, Delhi in 2008. She has received her Doctorate in 2016 from Delhi Technological University, New Delhi in the field of Agile Method Engineering. Her area of research includes Software Engineering and Method Engineering, Agile Software and Machine Learning. Dr. Rinky has over 14 years of experience in Academics. She worked as Assistant Professor for 9+ years at Maharaja Surajmal Institute of Technology, Delhi. She has also worked as a full-time research scholar in Delhi Technological University for two years and is currently working as Associate Professor in Maharaja Surajmal Institute of Technology, Delhi. She has published more than 20 research papers in reputed Journals and conferences proceedings and has also authored books.
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