SNN-Comprypto: High-Performance Compression and Encryption Using Spiking Neural Network Chaotic Reservoir Dynamics

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Abstract

I propose SNN-Comprypto, a novel system that leverages the chaotic dynamics of Spiking Neural Networks (SNNs) to perform simultaneous high-performance data compression and encryption. Unlike conventional methods that treat compression and encryption as separate processes, this approach integrates both within a single reservoir computing architecture. **Version History:** - **v1**: Core system with predictive compression and chaotic encryption. Passes all 9 NIST SP 800-22 randomness tests. Achieves 100% lossless reconstruction and strong avalanche effect (0.70% match rate with 1-bit key change). - **v2**: Introduces temperature parameter as a second cryptographic key (0.0001 difference causes complete…

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Topics & keywords

Keywords
  • Lossless compression
  • Chaotic
  • Randomness
  • Entropy (arrow of time)
  • Lyapunov exponent
  • Data compression
  • Data compression ratio
  • Encryption
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