Work

NeuroMAC

Year: 2026

Type: article

Abstract: This paper presents NeuroMAC — a message authentication code based on a neural network architecture (8.6 KB of weights) with innovative batch processing and caching mechanisms. The MAC generator delivers a performance of 0.41 μs/MAC in batch mode (174× acceleration) while maintaining full cryptographic strength: 15/15 NIST SP 800-22 tests passed on 838 sequences, quantum resistance (256 bits against Grover's algorithm), avalanche effect of 49.94%, ideal 0/1 balance (50.00% ±0.05%), and no collisions (0/100000). Cryptanalysis has been performed, including differential and linear cryptanalysis, timing attacks, and forgery attacks. All tests confirmed the cryptographic strength of the algorithm.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.19164622

Author: Surkova, Maria

Language: English

Topic: Cryptographic Implementations and Security

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W7140042806

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