Enhancing Online Education Through Cloud Computing Technologies

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Authors: Shaik Salam, Poojitha Tiruveedhula, B. Sai Bharath, Bandi Pavani
Cited by: 1
References: 8

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