SNN-Comprypto: High-Performance Compression and Encryption Using Spiking Neural Network Chaotic Reservoir Dynamics
Indexed indatacite
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…
Citation impact
21
total citations
- FWCI
- —
- Percentile
- —
- References
- 0
Too recent for citation history.
Authors
1Topics & keywords
Topics
Keywords
- Lossless compression
- Chaotic
- Randomness
- Entropy (arrow of time)
- Lyapunov exponent
- Data compression
- Data compression ratio
- Encryption
No related works found for this paper.