Privacy-Aware Information Security for E-Learning Platforms in History Using Attribute-Based Encryption Algorithm
Muslihiddin Muhiddinov · Journal of Internet Services and Information Security · 2025
The swift progression of technological advances has made Digital Instructional Resources (DIR) more critical in the history of E-Learning. Conventional access control methods inadequately address the need for fine-grained distribution of DIR in intricate educational settings. The research employs Attribute-Based Encryption (ABE) grounded in ciphertext rules. It integrates it with Blockchain (BC)'s decentralized and tamper-proof characteristics to formulate a secure sharing design that merges BC with ABE Privacy-Aware Information Security (P-IS) methods. This facilitates the safe and meticulously regulated sharing of history E-Learning materials. The results indicate that the developed model's mean encryption and decryption times were 1.77 seconds and 1.76 seconds, respectively. Compared to ABE key regulations encoding and policy-based ABE, the mean encryption period decreased by 0.76 seconds and 2.72 seconds, while the standard decryption time decreased by 0.80 seconds and 2.15 seconds, demonstrating superior efficiency in processing duties. The ciphertext upload duration of the developed model stays invariant at 9.3 ms, demonstrating its superior scalability for additional users without augmenting delay. The design model keeps the ciphertext length short even as the number of traits increases. This shows that it can significantly reduce the storage space needed and improve the whole system. The method solves the problems with sharing data in E-Learning and can be used as a model in other areas that need to protect information.