NEUROHASH
NEUROHASH
This paper presents NeuroHash — a neural network hash function that has passed full NIST SP 800-22 validation based on 10 million tests across 10 sequences of 1 million bits each, and has confirmed resistance to preimage and second preimage attacks. The model occupies 8 KB (2,048 parameters) and demonstrates entropy of 16.00 bits, an avalanche effect of 50.01% with a spread of ±2.22%, an ideal balance of 50.007%, and zero collisions. Hashing speed reaches 34,448 ops/sec on a single CPU core and scales to 800,704 ops/sec on 22 cores. Results of comparative analysis with SHA-256 are provided, and application areas as well as commercial potential are discussed.
IoT, neural network, ASIC, IoT security, collision resistance, determinism, 8 KB model, NIST SP 800-22, neural cryptography, ASIC implementation, preimage resistance, SHA-256 comparison, second preimage resistance, compact cryptography, Industrial prototype, hash function, cryptographic hash, entropy, avalanche effect, FPGA
IoT, neural network, ASIC, IoT security, collision resistance, determinism, 8 KB model, NIST SP 800-22, neural cryptography, ASIC implementation, preimage resistance, SHA-256 comparison, second preimage resistance, compact cryptography, Industrial prototype, hash function, cryptographic hash, entropy, avalanche effect, FPGA
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