A secure system for digital video applications using an intelligent crypto model

The rapid growth and widespread usage of the Internet increased digital multimedia communication through numerous applications. It created the risk of data stealing and misuse. The applications such as YouTube work based on video content, so a security system is needed to protect the video data from...

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Bibliographic Details
Published in:	Multimedia tools and applications Vol. 83; no. 6; pp. 16395 - 16415
Main Authors:	Kumar, Vinit, Mali, Shital Sunil, Rajender, G., Medikondu, Nageswara Rao
Format:	Journal Article
Language:	English
Published:	New York Springer US 01-02-2024 Springer Nature B.V
Subjects:	Computer Communication Networks Computer Science Data Structures and Information Theory Digital video Encryption Frames (data processing) Multimedia Multimedia communications Multimedia Information Systems Security systems Special Purpose and Application-Based Systems Video data Hashing Encryption Decryption Twofish algorithm Digital video application
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Summary:	The rapid growth and widespread usage of the Internet increased digital multimedia communication through numerous applications. It created the risk of data stealing and misuse. The applications such as YouTube work based on video content, so a security system is needed to protect the video data from unauthorized access. The existing video security-based approaches face problems like high execution time, low confidentiality, etc., therefore, proposed a novel Deep Neural Based Twofish (DNBT) framework to secure the video content in digital video applications. The digital videos are initially collected from the UVG dataset and inserted into the proposed framework. The inserted data is preprocessed for noise removal, and the hash 1 value is calculated. Then the videos are split into several frames. These separated video frames are subjected to the encryption procedure to encrypt using the generated key. Additionally, hash 2 is calculated on the encrypted data and compared to the hash 1 value to verify the user. Following validation, the shared key decrypts the data to restore it to its original state for validated user access. Additionally, the computed results of the proposed model are related to the flourishing replica based on video security to know the efficiency. The proposed DNBT gained a confidential rate of 95.52% with a short execution time of 100 ms.
ISSN:	1573-7721 1380-7501 1573-7721
DOI:	10.1007/s11042-023-16223-x