Efficient opto MVC/HEVC cybersecurity framework based on arnold map and discrete cosine transform

The rapid increase in Internet and social media services results in many cybercriminals that cause a significant deterioration in Internet security with massive unwanted consequences. Encryption technology can be employed to provide data security in digital multimedia communications. From this scene, this paper studies and proposes an efficient optical Multiview Video Coding/High-Efficiency Video Coding (MVC/HEVC) cybersecurity framework using chaotic Arnold map Transform (AMT) and Discrete Cosine Transform (DCT) for the secure transmission of MVC/HEVC data. The proposed AMT-DCT-based optical MVC/HEVC cybersecurity framework consists has two stages. In the first stage, the video frames are shuffled using the AMT, multiplied by the initial random phase mask (RPM1), and decomposed with the DCT. In the second stage, the DCT shuffled video frames are secondly shuffled using the AMT, modulated with the second random phase mask (RPM2), and decomposed with the inverse of DCT to obtain the finally encrypted video frames. The usage of AMT as a pre-processing shuffling process guarantees the advantages of noise resistance. Experiments prove that the proposed AMT-DCT-based optical MVC/HEVC cybersecurity scheme can withstand various multimedia attacks compared to the literature work.

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