Secure digital communication using discrete-time chaos synchronization

Feki, Moez; Robert, Bruno; Gellé, Guillaume; Colas, Maxime

doi:10.1016/s0960-0779(03)00065-1

Cited by 84 publications

(40 citation statements)

References 16 publications

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“…Thus, in [16], the key is fixed to k = {α, β} = {1.4, 0.3}. However, in [16] there is no information given about what the key space is. The key space is defined by all the possible valid keys.…”

Section: The Key Spacementioning

confidence: 99%

“…1 to avoid periodic windows and divergence. Due to low sensitivity to parameter mismatch, if the system key is fixed to k = {α, β} = {1.4, 0.3} as in [16], then any key k ′ chosen from the same key space will decrypt the ciphertext into a message m ′ with an error rate which is well below 50%. Fig.…”

Section: Insensitivity To Parameter Mismatchmentioning

confidence: 99%

“…In [16], a secure communication system based on chaotic modulation using discrete-time chaos synchronization is proposed. Two different schemes of message encoding are presented.…”

Section: Introductionmentioning

confidence: 99%

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Cryptanalyzing a discrete-time chaos synchronization secure communication system

Álvarez

Montoya

Romera

et al. 2004

Chaos, Solitons & Fractals

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Section: The Key Spacementioning

confidence: 99%

Section: Insensitivity To Parameter Mismatchmentioning

confidence: 99%

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Cryptanalyzing a discrete-time chaos synchronization secure communication system

Álvarez

Montoya

Romera

et al. 2004

Chaos, Solitons & Fractals

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“…A large variety of encryption algorithms have been proposed for realizing chaotic communication since Pecora and Carroll proposed synchronization of chaotic systems. Up to now, many chaos-based secure communication systems have been proposed, which can be roughly classified into the following categories: chaotic masking (addition method) [19], chaotic switching [20], chaotic modulation (inclusion method) [21], digital communication [22], and inverse system approach [23]. One can refer to [24] for a recent survey.…”

Section: Introductionmentioning

confidence: 99%

Adaptive coupled synchronization among three coupled chaos systems and its application to secure communications

Zhang

Zhang²,

et al. 2016

J Wireless Com Network

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In this paper, the adaptive synchronization method of three coupled identical chaos systems is proposed. New generic criteria of global chaos synchronization and strict theoretical proofs are given. The unidirectional (bidirectional) coupled system will synchronize by adding three adaptive feedback gain equations. As an example, the three Rössler chaotic systems with unidirectional coupling are given to realize the adaptive coupled synchronization; at the same time, the three Lorenz chaotic systems donate the bidirectional coupling adaptive synchronization. This paper also extends the above adaptive synchronization method to secure chaos communications through the method of chaos masking. Based on the three coupled identical Lorenz chaotic systems, a novel method of chaos encryption is proposed, and the basic idea is that after encrypting two times in two transmitters and one receiver, information signal can be recovered exactly at the receiver end. In consideration of interfering random white noise, the results of encoding and decoding are simulated and analyzed for the multistage chaos synchronized system. By analyzing the characteristics of noise, this paper presents a de-noising method using wavelet transform. At last, a secure communications method for high amplitude information signal transmission based on chaotic masking is studied. With the MATLAB, the effects of signal de-noising could be demonstrated.

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“…In practice, the use of chaos in communication systems has been limited because most schemes based on synchronization perform poorly in the presence of a distorting channel. Much recent work has concentrated in improving chaotic communication schemes to degradation by noise, band-pass filtering, attenuation, and parameter mismatch [6]- [12].…”

mentioning

confidence: 99%

The Importance of Choosing Attractors for Optimizing Chaotic Communications

Homer

Hogan

Bernardo

et al. 2004

IEEE Trans. Circuits Syst. II

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Abstract-In this brief, we consider methods to improve the performance of chaotic communication schemes. We study a system using a receiver which explicitly includes the presence of noise in the channel. We show how the choice of chaotic dynamical system generating the transmitted signal is crucial. We observe a large variation in bit error rate performance of the system as parameters in the maps are changed, and we propose a simple explanation for this variation.Index Terms-Bit error rate (BER), chaotic communication, optimal estimator, piecewise smooth systems.

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Secure digital communication using discrete-time chaos synchronization

Cited by 84 publications

References 16 publications

Cryptanalyzing a discrete-time chaos synchronization secure communication system

Cryptanalyzing a discrete-time chaos synchronization secure communication system

Adaptive coupled synchronization among three coupled chaos systems and its application to secure communications

The Importance of Choosing Attractors for Optimizing Chaotic Communications

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