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Designing Two Secure Keyed Hash Functions Based on Sponge Construction and the Chaotic Neural Network.

Nabil Abdoun¹, Safwan El Assad¹, Thang Manh Hoang²

¹Institut d'Electronique et des Télécommunications de Rennes (IETR), UMR CNRS 6164, Université de Nantes-Polytech, 44306 Nantes, France.

Entropy (Basel, Switzerland)

|December 8, 2020

Summary

This summary is machine-generated.

This study introduces two novel keyed hash functions utilizing Chaotic Neural Networks (CNN) and Sponge construction. These functions offer robust security and efficient performance for data integrity and authentication applications.

Keywords:

chaotic neural network keyed hash functions security analysis speed analysis sponge construction

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Area of Science:

Cryptography
Neural Networks
Information Security

Background:

Traditional hash functions face evolving security challenges.
Chaotic systems offer unique properties for cryptographic applications.
Sponge construction provides a flexible framework for hash function design.

Purpose of the Study:

To propose and analyze two new keyed hash functions based on Chaotic Neural Networks (CNN) and Sponge construction.
To evaluate the security and speed performance of the proposed hash functions.
To demonstrate the suitability of these functions for critical data security applications.

Main Methods:

Implementation of two distinct CNN-based structures integrated with Sponge construction.
Analysis of hash value lengths (256 and 512 bits).
Performance evaluation through security (collision resistance) and speed (NCpB) metrics.

Main Results:

The proposed structures exhibit strong security, with minimal hits in collision tests (≤2 for 256-bit, ≤3 for 512-bit).
Efficient hashing speeds were achieved, with NCpB values as low as 21.21 for Structure 2.
Comparative analysis showed competitive or superior performance against SHA-3, SHA-2, and other chaos-based hash functions.

Conclusions:

The developed keyed hash functions are robust and secure against known attacks.
The novel combination of CNN and Sponge construction offers a promising approach to modern cryptography.
The proposed functions are suitable for applications including Message Authentication, Data Integrity, Digital Signatures, and Authenticated Encryption.