Enhancing Online Education Through Cloud Computing Technologies
Abstract
The rapid growth of digital technologies has transformed traditional education into cloud-based e-learning systems. However, ensuring data security, privacy, and system performance remains a major challenge. This study proposes a secure and scalable cloud-based e-learning platform integrated with the Advanced Encryption Standard (AES) algorithm to protect sensitive academic data. The system architecture supports course delivery, student management, and secure online assessments while maintaining confidentiality and data integrity. The methodology involves designing a cloud infrastructure combined with AES-based encryption for both data storage and transmission. Experimental analysis indicates that AES provides efficient encryption with minimal impact on system latency and user experience. The proposed system demonstrates improved security, scalability, and performance compared to traditional approaches. This work offers a reliable and secure solution for modern digital education systems, enhancing trust among users and supporting large-scale deployment in academic institutions.
Fields of Study & Subjects
Intuitionistic Fuzzy Systems Applications
Innovative Educational Technologies
Cloud Computing and Resource Management
Publication details
- Journal / source
- 2026 6th International Conference on Pervasive Computing and Social Networking (ICPCSN)
- Publisher
- IEEE
- Pages
- 984–990
- Publication date
- 6 May 2026