NEUROSIGN

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Authors: Maria Surkova
Cited by: 0

Abstract

This paper presents NeuroSign --- a neural network digital signature system based on the NeuroHash hash function (8 KB). The system implements a fundamentally new class of cryptographic primitives where keys are not stored separately but are an integral part of the neural network architecture. Comprehensive testing was conducted: 1 million signing operations, 100 thousand uniqueness checks, 50 million collision comparisons, and 7 types of cryptographic attacks. The results confirm 100% correctness, 100% signature uniqueness, an avalanche effect of 49.99% ±2.37%, and no collisions or false positives. The signing speed is 12,500 ops/sec (80 µs), which is 1.5 times faster than Ed25519. The code size is 8 KB (6 times smaller than analogues). Quantum resistance and protection against timing attacks are confirmed.

Fields of Study & Subjects

Cryptography and Data Security Cryptographic Implementations and Security Cryptography and Residue Arithmetic

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
13 March 2026
Language
EN