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<p>The present study puts forward a strong authentication and data encryption framework for e-learning platforms—including those based on the traditional ZKP-based authentication and AEES, or adaptive/advanced encryption standard, protocols to enhance data security. This ZKP is proposed to enable, “real-time” Identity Authentication with 98.5% accuracy and eliminates trust concerns associated with traditional credential-based authentication, which leave the door open for identity theft. In addition, AEES offered a quicker, more efficient form of encryption for online learning platforms (real-time data encryption: 45% less computational latency, in comparison to standard AES, while maintaining data confidentiality). Several different tests were performed on a Moodle learning management system (LMS) e-learning platform, achieving an authenticity speed of 87% and a data protection value of 72% in comparison to the LMS e-learning platform’s offered standard. Security analyses indicated the proposed framework is resilient to replay, man-in-the-middle, and brute force attacks thereby bolstering security of the overall proposed framework through the provided security apparatuses. Compatibility tests using a structure method were also conducted indicating that there are no integration concerns with adopting the structure within widely used e-learning infrastructures for scalability testing. Demonstrative usefulness for ZKP and AEES was presented for greater anonymity, security, and trust in a contemporary learning system while increasing compliance with data protection regulations, consequently limiting the time needed for utilizing the average authentication exit portal. As a result, it would work well for extensive e-learning projects. In conclusion, this dissertation emphasized the importance of addressing the shortcomings of current authentication and encryption processes in the digital learning environment, addressing real-time threats in the educational setting, and improving privacy-preserving educational technologies, even though the suggested framework was tested and showed very little exposure to any vulnerabilities based on current authentication and encryption efficiencies. Future enhancements and their applicability to the setup of general frameworks for safely relocating learning would be built upon them.</p>

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Design and implementation of information security system for E-learning platform

  • 期刊论文

  • 发表日期：

    2026年3月4日

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  • Saroj Junghare,
  • Mridula Dube

摘要

The present study puts forward a strong authentication and data encryption framework for e-learning platforms—including those based on the traditional ZKP-based authentication and AEES, or adaptive/advanced encryption standard, protocols to enhance data security. This ZKP is proposed to enable, “real-time” Identity Authentication with 98.5% accuracy and eliminates trust concerns associated with traditional credential-based authentication, which leave the door open for identity theft. In addition, AEES offered a quicker, more efficient form of encryption for online learning platforms (real-time data encryption: 45% less computational latency, in comparison to standard AES, while maintaining data confidentiality). Several different tests were performed on a Moodle learning management system (LMS) e-learning platform, achieving an authenticity speed of 87% and a data protection value of 72% in comparison to the LMS e-learning platform’s offered standard. Security analyses indicated the proposed framework is resilient to replay, man-in-the-middle, and brute force attacks thereby bolstering security of the overall proposed framework through the provided security apparatuses. Compatibility tests using a structure method were also conducted indicating that there are no integration concerns with adopting the structure within widely used e-learning infrastructures for scalability testing. Demonstrative usefulness for ZKP and AEES was presented for greater anonymity, security, and trust in a contemporary learning system while increasing compliance with data protection regulations, consequently limiting the time needed for utilizing the average authentication exit portal. As a result, it would work well for extensive e-learning projects. In conclusion, this dissertation emphasized the importance of addressing the shortcomings of current authentication and encryption processes in the digital learning environment, addressing real-time threats in the educational setting, and improving privacy-preserving educational technologies, even though the suggested framework was tested and showed very little exposure to any vulnerabilities based on current authentication and encryption efficiencies. Future enhancements and their applicability to the setup of general frameworks for safely relocating learning would be built upon them.