Hybrid Encryption Approach for Securing Educational Data Using Attribute-Based Methods

This part presents a general overview of a novel File Attribute-Based Encryption algorithm called Hybrid File Attribute-Based Encryption (HFABE) which has been developed to enhance security of educational data in the cloud. Since education institutions have embraced the use of technology to deliver learning services and student records, assessment information, learning resources, etc., may be hosted by third-party cloud service providers. It uncovers information to such threats as the Distributed Denial of Service (DDoS) attacks, data theft, and unauthorized access and other related risks. The HFABE algorithm responds to these challenges by incorporating a competent encryption approach, and safe key distribution. It entails creating private and public keys using a secure Key Escrow Agent and sending these keys directly to users’ secure email accounts for validation and integrity with secure means. The solution that was proposed was in C# and benchmarked it with DES and RSA algorithms. The minor performance delay due to enhanced security measures and anti-DOS measure, HFABE showed better security than the other schemes. When it comes to encryption effectiveness, the HFABE method outperforms RSA and DES by almost 95% across all file sizes that were examined. On tiny files in especially, it routinely beats RSA and DES, and it keeps up with its outstanding efficiency even on bigger datasets. These results prove that the suggested approach successfully provides trustworthy encryption.