MUMBAI, India, Feb. 13 -- Intellectual Property India has published a patent application (202641008110 A) filed by Karpagam Academy Of Higher Education; Karpagam Institute Of Technology; Dr. K. Renuga; and Sujith Kumar S, Coimbatore, Tamil Nadu, on Jan. 28, for 'secure e-learning using data mining techniques.'
Inventor(s) include Dr. K. Renuga; and Sujith Kumar S.
The application for the patent was published on Feb. 13, under issue no. 07/2026.
According to the abstract released by the Intellectual Property India: "In the modern digital era, E-learning has become an essential component of education, offering flexible, location-independent, and time-independent access to learning resources. However, the rapid growth of online learning platforms has raised significant concerns regarding data security, user authentication, and the unauthorized distribution of valuable educational materials. This study presents a Secure E-learning System that incorporates a multi-layered security framework designed to protect user information, safeguard course content, and ensure controlled access to educational resources. The proposed system introduces a robust admin-driven user authentication and authorization mechanism, where only verified candidates are granted entry into the platform. This eliminates unauthorized access and strengthens the overall integrity of the learning environment. The administrator validates each user through a secure approval process, ensuring that student data, instructor information, and administrative records remain confidential and protected from misuse. To secure learning materials, the invention integrates an advanced file encryption and decryption methodology. All course content-including documents, videos, and multimedia files-is encrypted before storage or upload. Decryption occurs exclusively within the platform when accessed by authorized users, preventing content from being copied, downloaded, or distributed outside the system. This mechanism preserves the intellectual property rights of institutions and instructors while providing a seamless and secure learning experience for students. The system also implements secure communication protocols, encrypted data storage, and role-based access control to ensure complete end-to-end protection across all system operations. Its architecture is designed to be scalable, cloud-compatible, and suitable for institutions of varying sizes. By combining strong authentication, encrypted content management, and secure data handling practices, this Secure E-learning System effectively addresses the limitations of existing platforms. Overall, the proposed framework enhances trust, reliability, and confidentiality in the digital learning ecosystem, offering a comprehensive solution that balances user flexibility with rigorous security measures."
Disclaimer: Curated by HT Syndication.
