Abstract
In recent years, video encryption based on chaotic maps have emerged as an important research problem. Properties like high randomness, ergodicity, sensitivity to controlling parameters, and initial states make chaotic map-based video encryption more popular than the conventional encryption techniques. In this paper, we propose a compression-independent method for video encryption at frame level where a new confusion technique, based on sort index permutation, is introduced. During shuffling, a new sequence is generated for every video frame under consideration. Generated pseudorandom chaotic sequence depends on initial values, controlling parameters, and the video frames. We have used a logistic-sine-coupling map (LSCM) for generating highly pseudorandom sequence. Block-level diffusion has been employed for scrambling the frames. The proposed framework is more robust against known and chosen-plaintext attacks as we have incorporated the size and sum of all pixel values for generating random chaotic sequence. Experimental results clearly demonstrate that our method is effective in terms of security, efficiency, and robustness compared to some of the existing approaches.
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Sethi, J., Bhaumik, J., Chowdhury, A.S. (2022). Chaos-Based Uncompressed Frame Level Video Encryption. In: Giri, D., Raymond Choo, KK., Ponnusamy, S., Meng, W., Akleylek, S., Prasad Maity, S. (eds) Proceedings of the Seventh International Conference on Mathematics and Computing . Advances in Intelligent Systems and Computing, vol 1412. Springer, Singapore. https://doi.org/10.1007/978-981-16-6890-6_15
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DOI: https://doi.org/10.1007/978-981-16-6890-6_15
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