Performance of Computing Hash-Codes with Chaotically-Trained Artificial Neural Networks

Author:

Tchórzewski JacekORCID,Byrski AleksanderORCID

Publisher

Springer International Publishing

Reference22 articles.

1. Akhavan Masoumi, A., Samsudin, A., Akhshani, A.: A novel parallel hash function based on a 3D chaotic map. EURASIP J. Adv. Signal Process. 2013, 126 (2013). https://doi.org/10.1186/1687-6180-2013-126

2. Angela. Average file sizes. https://blog.online-convert.com/average-file-sizes/. Accessed Feb 2022

3. Bishop, C.M., Nasrabadi, N.M.: Pattern recognition and machine learning. Springer 4(4), 246–249 (2006)

4. Boeing, G.: Visual analysis of nonlinear dynamical systems: chaos, fractals, self-similarity and the limits of prediction. Systems 4(4) (2016). https://doi.org/10.3390/systems4040037

5. Gong, Z.: Survey on lightweight hash functions. J. Cryptol. Res. 3(1), 1–11 (2016)

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