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dc.contributor.author Misu, Sazna Saneka
dc.date.accessioned 2025-08-30T04:39:00Z
dc.date.available 2025-08-30T04:39:00Z
dc.date.issued 2024-09-02
dc.identifier.uri http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/14091
dc.description Thesis en_US
dc.description.abstract Traditional steganographic techniques directly embed secret data within a cover medium, like a video, potentially raising suspicion. This paper presents a novel method for concealing data in video frames that leverages the Fisher-Yates shuffle for enhanced security. My approach shuffles the secret data before embedding, making it harder to detect its presence even if steganography is suspected. The proposed methodology involves segmenting the secret data, applying the FisherYates shuffle for randomization, and strategically embedding these shuffled blocks within selected video frames. To ensure robustness against detection, the embedding process incorporates randomized placement within the frames. The importance of computational efficiency and testing across various video formats is emphasized for practical implementation. The combination of these techniques results in a robust framework for secure data hiding in video steganography. My approach addresses common challenges such as maintaining video quality and managing computational overhead, while providing a secure and discreet method for data transmission. By comparing my method against traditional embedding techniques and single encryption methods, I demonstrate its good security and effectiveness. This research contributes to the field of security, offering a viable solution for protecting sensitive information in digital communications en_US
dc.description.sponsorship DIU en_US
dc.publisher DAFFODIL INTERNATIONAL UNIVERSITY en_US
dc.subject RANVIDSTEGO en_US
dc.subject Video Steganography en_US
dc.subject Data Hiding Techniques en_US
dc.subject Information Security en_US
dc.subject Randomized Frame Selection en_US
dc.subject Robustness in Steganography en_US
dc.subject Video Steganography en_US
dc.subject Data Embedding en_US
dc.title RANVIDSTEGO: en_US
dc.title.alternative Enhancing Robustness in Video Steganography techniques using randomized frame selection mechanism en_US
dc.type Software en_US


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