Description
Book SynopsisThis 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.
Table of Contents1. 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.
