Abstract
This study focuses on the design and implementation of a hybrid system model for compression algorithms, cryptography, and wireless link transmission. Chaotic Neural Network is a cipher encryption model built using neural networks and the notion of chaotic features (CNN). The proposed paradigm has been effectively incorporated into the MPEG-2 standard. In order to transfer the encrypted bit stream from source to destination using the OFDM approach, the plaintext (compressed video data) must first be converted into an encrypted state. The whole system model is demonstrated using Matlab programming, and the effectiveness of the overall results is assessed in this research using both subjective and objective metrics.
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Fadil, T.A., Fadhil, H.A., Jasim, S.I. (2023). Developing a Cipher Algorithm Based on Chaotic Neural Network. In: Al-Sharafi, M.A., Al-Emran, M., Al-Kabi, M.N., Shaalan, K. (eds) Proceedings of the 2nd International Conference on Emerging Technologies and Intelligent Systems. ICETIS 2022. Lecture Notes in Networks and Systems, vol 584. Springer, Cham. https://doi.org/10.1007/978-3-031-25274-7_42
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DOI: https://doi.org/10.1007/978-3-031-25274-7_42
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