On the cryptanalysis of two cryptographic algorithms that utilize chaotic neural networks
type: Item
instance of: scholarly article
title: On the cryptanalysis of two cryptographic algorithms that utilize chaotic neural networks
zbMATH Open document ID: 1395.94308
DOI: 10.1155/2015/468567
author: Ke Qin
author: B. John Oommen
published in: Mathematical Problems in Engineering
publication date: 2018-08-27T00:00:00Z
review text: Summary: This paper deals with the security and efficiency issues of two cipher algorithms which utilize the principles of Chaotic Neural Networks (CNNs). The two algorithms that we consider are (1) the CNN-Hash, which is a one-way hash function based on the Piece-Wise Linear Chaotic Map (PWLCM) and the One-Way Coupled Map Lattice (OCML), and (2) the Delayed CNN-Based Encryption (DCBE), which is an encryption algorithm based on the delayed CNN. Although both of these cipher algorithms have their own salient characteristics, our analysis shows that, unfortunately, the CNN-Hash is not secure because it is neither Second-Preimage resistant nor collision resistant. Indeed, one can find a collision with relative ease, demonstrating that its potential as a hash function is flawed. Similarly, we show that the DCBE is also not secure since it is not capable of resisting known plaintext, chosen plaintext, and chosen ciphertext attacks. Furthermore, unfortunately, both schemes are not efficient either, because of the large number of iteration steps involved in their respective implementations.
Mathematics Subject Classification ID: 94A60
zbMATH DE Number: 6926417
Wikidata QID: Q59118658
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2015/468567
OpenAlex ID: W2032058157
cites work: Chaos and randomness
cites work: Cryptography with chaos
cites work: Cryptanalysis of a chaotic encryption system
cites work: Keyed hash function based on a chaotic map
cites work: A novel image encryption algorithm based on a 3D chaotic map
cites work: Chaos-based random number generators-part I: analysis [cryptography]
cites work: On the design of chaos-based secure communication systems
cites work: Q3063552
cites work: Cryptography based on delayed chaotic neural networks
cites work: Mathematical Systems Theory I
cites work: Q4718481
cites work: Chaotic attractors in delayed neural networks
description: scientific article; zbMATH DE number 6926417