Modern Principles, Practices, and Algorithms for Cloud Security

Book Description In todays modern age of information, new technologies are quickly emerging and being deployed into the field of information technology. Cloud computing is a tool that has proven to be a versatile piece of software within IT. Unfortunately, the high usage of Cloud has raised many concerns related to privacy, security, and data protection that have prevented cloud computing solutions from becoming the prevalent alternative for mission critical systems. Up-to-date research and current techniques are needed to help solve these vulnerabilities in cloud computing.

Modern Principles, Practices, and Algorithms for Cloud Security is a pivotal reference source that provides vital research on the application of privacy and security in cloud computing. While highlighting topics such as chaos theory, soft computing, and cloud forensics, this publication explores present techniques and methodologies, as well as current trends in cloud protection. This book is ideally designed for IT specialists, scientists, software developers, security analysts, computer engineers, academicians, researchers, and students seeking current research on the defense of cloud services.

Content

Chapter 1. Security- and Privacy-Aware Computing in Cloud With User Mobility: An Extensive Review
Chapter 2. Recent Advances Delivered in Mobile Cloud Computing’s Security and Management Challenges
Chapter 3. Security for Cross-Tenant Access Control in Cloud Computing
Chapter 4. Secure Identity-Based Proxy Signature With Computational Diffie-Hellman for Cloud Data Management
Chapter 5. Cloud Computing Adoption: A Scale Development Approach
Chapter 6. A Computational Approach for Secure Cloud Computing Environments
Chapter 7. Security Threats and Recent Countermeasures in Cloud Computing
Chapter 8. A Framework Strategy to Overcome Trust Issues on Cloud Computing Adoption in Higher Education
Chapter 9. A Proposal of Improvement for Transmission Channels in Cloud Environments Using the CBEDE Methodology
Chapter 10. Meta-Heuristic and Non-Meta-Heuristic Energy-Efficient Load Balancing Algorithms in Cloud Computing
Chapter 11. Distributed Algorithms for Finding Meta-Paths of a Large Heterogeneous Information Network on Cloud
Chapter 12. A Tree Computing Block Chain Protocol Crypto-Signature Model
Chapter 13. Automate Model Transformation From CIM to PIM up to PSM in Model-Driven Architecture