The objective of this project is to analyze major security challenges in cloud computing environments, including data breaches, identity management, and compliance issues. It aims to evaluate existing security frameworks and propose effective risk mitigation strategies to enhance data protection and trust in cloud-based systems.
The student will begin by conducting an in-depth literature review on cloud computing and its security architecture, focusing on models such as IaaS, PaaS, and SaaS. The research will identify key security threats, including data leakage, account hijacking, insider threats, and insecure APIs, using case studies and industry reports.
Next, the student will analyze various cloud security frameworks and standards such as shared responsibility models, encryption techniques, identity and access management (IAM), and compliance regulations. Comparative analysis will be performed to understand the strengths and weaknesses of different security approaches adopted by cloud service providers.
The project will also involve collecting secondary data from research papers, whitepapers, and industry surveys to assess the frequency and impact of cloud security incidents. The student will interpret this data using analytical tools and present findings through charts and reports.
Furthermore, the student will evaluate risk mitigation strategies, including multi-factor authentication, data encryption, zero-trust architecture, and security auditing practices. Based on the analysis, the student will propose recommendations to improve cloud security practices for organizations.
Finally, the project will conclude with insights on future trends in cloud security, such as AI-based threat detection and automated compliance monitoring, providing a comprehensive research-based understanding of the domain.
