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ACCENTS Transactions on Image Processing and Computer Vision (TIPCV)

ISSN (Print):    ISSN (Online):2455-4707
Volume-9 Issue-25 May-2023
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Paper Title : Enhancing video encryption: AES and blowfish algorithms with random password generation
Author Name : Shyam Babu Sah and Sandhya Gawade
Abstract :

This paper explores the integration of AES and Blowfish algorithms for video encryption, utilizing a random password generation process to enhance efficiency in encryption and decryption. The study compares the results through various methodologies. One category assesses data using RGB buffer calculations, demonstrating that minimal RGB buffer variations ensure accurate encryption, making it suitable for video protection. Significant differences between original and encrypted image RGB attributes highlight robust encryption. The proposed approach combines AES's adaptability and Blowfish's efficiency, demonstrating their effectiveness for safeguarding sensitive digital content. The research advances video security within the contemporary digital landscape, addressing the imperative need for robust encryption techniques to protect valuable data during transmission and storage.
Keywords : AES, Blowfish, RGB buffer, Data security.
Cite this article : Sah SB, Gawade S. Enhancing video encryption: AES and blowfish algorithms with random password generation. ACCENTS Transactions on Image Processing and Computer Vision. 2023; 9 (25): 9-14. DOI:10.19101/TIPCV.2023.924002.
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