Designing Confidential Cloud Computing for Multi-Dimensional Threats and Safeguarding Data Security in a Robust Framework

Authors

  • Vasavi Bande Associate Professor, Department of Information Technology, MVSR Engineering College, Hyderabad, Telangana 501510
  • B. Deevena Raju Senior Assistant Professor , Department of Data Science and Artificial Intelligence, Faculty of Science and Technology,, ICFAI Foundation for Higher Education, Hyderabad-501203
  • Karu Prasada Rao Assistant Professor, Department of Computer Science & Engineering, GITAM School of Technology, GITAM, Visakhapatnam, 510419
  • Suneet Joshi Assistant Professor, Department of Computer Science & Engineering, School of Computing Science and Engineering, VIT Bhopal University Gram: Kothari Kalan, Sehore
  • Sonia H. Bajaj Research Coordinator, Department of Computer Science and Engineering, G H Raisoni University, Nagpur
  • V. Sarala Associate professor, Department of Computer Science and Engineering, Saveetha school of Engineering, Saveetha Institute of Medical and Technical sciences (SIMATS)

Keywords:

Cyber Attack, Confidential Computing, Cloud Security, Cloud Service Provider, Encrypted Data

Abstract

In the dynamic landscape of cloud computing, robust security is imperative to safeguard sensitive data from cyber threats. Protecting against unauthorized access and ensuring data integrity are fundamental fostering trust and reliability in cloud services. Cyber-attacks on clouds often start with tricks like phishing or spreading harmful software. Weak passwords, mistakes in settings, or outdated systems make it easy for hackers. Once they get in, they may steal data or harm shared resources. They try to gain more control and cause damage. Stopping these attacks needs good defences and always watching for anything suspicious. Confidential computing emerges as a paramount paradigm in cloud security, establishing secure enclaves that process sensitive data within isolated, encrypted spaces. This innovative approach significantly mitigates the risk of unauthorized access, providing heightened data confidentiality beyond conventional security measures. Notably, even cloud service providers are barred from accessing data within these secure enclaves, fortifying defences against insider threats. The architecture enables the secure processing of encrypted data, maintaining encryption during usage and offering an additional layer of protection. This proves invaluable in scenarios requiring the analysis or processing of sensitive information, effectively reducing the attack surface for potential threats.

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Published

11.01.2024

How to Cite

Bande, V. ., Raju, B. D. ., Rao, K. P. ., Joshi, S. ., Bajaj, S. H. ., & Sarala, V. . (2024). Designing Confidential Cloud Computing for Multi-Dimensional Threats and Safeguarding Data Security in a Robust Framework. International Journal of Intelligent Systems and Applications in Engineering, 12(11s), 246–255. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/4446

Issue

Vol. 12 No. 11s (2024)

Section

Research Article

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