Automating the secure distribution and storage of video data addresses inefficiencies in manual processes. The emphasis on secure distributed storage aligns with the increasing importance of safeguarding video data. Traditional approaches in distributed video data storage face limitations, like lack of scalability, privacy challenges in surveillance systems and suboptimal storage efficiency. This research addresses the existing limitations in distributed storage for video data by proposing a Central Moment-Driven Distributed Structure (CM-DDS) and an incremental RSA-driven Incremental Video Data Encryption (RSA-IVDE) method. The framework optimizes video data distribution across nodes, enhancing redundancy and fault tolerance for continuous data availability, even in the event of node failures. Emphasizing simplicity and accessibility, the user-friendly interface facilitates efficient management of large video datasets across various applications, including social networks, video games, surveillance and transportation networks. This comprehensive approach aims to provide a robust solution for secure distributed storage and transmission of video data while addressing the challenges identified in the existing research. The proposed approach surpasses other traditional methods with minimal decryption mean time (0.208s), minimal encryption mean time (0.182s) and minimal distribution mean time (1.620s).
Key words: Access control, Automation, Distributed storage, Scalability, Security, Video data
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