Breaking chaotic secure communication using a spectrogram

Yang, Tao; Yang, Lin-Bao; Yang, Chun-Mei

doi:10.1016/s0375-9601(98)00560-x

Cited by 75 publications

(37 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…For instance, the spectrum of x(t) in the Lorenz System is relatively good, but that of |x(t)| has a significant peak. When the plaintext message signal is hidden in the driving signal, the narrow-band spectrum means that the driving signal may be directly filtered to recover the message signal [114,8]. On the other hand, for some parameter modulation systems the power energy of the driving signal varies according to the value of the transmitted signal.…”

Section: Case Study 822 ([27])mentioning

confidence: 99%

Lessons Learnt from the Cryptanalysis of Chaos-Based Ciphers

Álvarez

Amigó

Arroyo

et al. 2011

Studies in Computational Intelligence

View full text Add to dashboard Cite

The idea of using chaotic transformations in cryptography is explicit in the foundational papers of Shannon on secrecy systems (e.g., [96]). Although the word "chaos" was not minted till the 1970s [71], Shannon clearly refers to this very concept when he proposes the construction of secure ciphers by means of measure-preserving, mixing maps which depend 'sensitively' on their parameters. The implementation of Shannon's intuitions had to wait till the development of Chaos Theory in the 1980s. Indeed, it was around 1990 when the first chaos-based ciphers were proposed (e.g., [78], [46]). Moreover, in 1990 chaos synchronization [91] entered the scene and shortly thereafter, the first applications to secure communications followed [56,37]. The idea is remarkably simple: mask the message with a chaotic signal and use synchronization at the receiver to filter out the chaotic signal. The realization though had to overcome the desynchronization induced by the message itself. After this initial stage, the number of proposals which exploited the properties of chaotic maps for cryptographical purposes, grew in a spectacular way.

show abstract

Section: Case Study 822 ([27])mentioning

confidence: 99%

Lessons Learnt from the Cryptanalysis of Chaos-Based Ciphers

Álvarez

Amigó

Arroyo

et al. 2011

Studies in Computational Intelligence

View full text Add to dashboard Cite

show abstract

“…The system's mathematical model in [23] is described by the following nonlinear differential equations and is denoted as system (1).…”

Section: Mathematical Modelmentioning

confidence: 99%

“…In fact, adopting higher-dimensional chaotic systems has been proposed for secure communication [1][2][3], and the presence of more than one Lyapunov exponent clearly improves the security of communication schemes by generating more-complex dynamics [4,5]. Therefore, creating a hyperchaotic attractor is a theoretically very attractive and yet technically quite challenging task.…”

Section: Introductionmentioning

confidence: 99%

Analysis and control of a hyperchaotic system with only one nonlinear term

2011

View full text Add to dashboard Cite

In order to promote the development of chaos in nonlinear systems, and explore more convenient controllers for the engineering application, a four-dimensional nonlinear dynamic system with only one nonlinear term was constructed and its complex dynamic characteristics were analyzed, including the phase trajectory map, Lyapunov exponents, and so on. Furthermore, the recursive backstepping method was proposed to design a different controller; the hyperchaotic system was controlled to an equilibrium point and a periodic orbit. Theoretical analysis is in agreement with simulation results. The results show that the recursive backstepping control method can wipe off chaos, and make the hyperchaotic system achieve stable states. The control process is a smooth transition, and the transition time is short.

show abstract

“…Obviously, it is hard to identify "0" and "1" from the power spectral density distribution. Through numerical simulations, the digital secure communication scheme can resist spectral attacking [29] and filtering attack [28] effectively.…”

Section: Some Tests About the Digital Secure Communication Schemementioning

confidence: 99%

A new digital communication scheme based on chaotic modulation

Wang

Pei

2011

Nonlinear Dyn

View full text Add to dashboard Cite

Based on parameter identification, a parameter observer is designed for a class of chaotic systems. The digital signals modulated in the parameter will be recovered by the observer. By choosing different frequency signals as "0" and "1," a practical digital secure communication scheme is proposed by this parameter modulation method. Numerical simulations show the effectiveness of this communication scheme.

show abstract

Breaking chaotic secure communication using a spectrogram

Cited by 75 publications

References 7 publications

Lessons Learnt from the Cryptanalysis of Chaos-Based Ciphers

Lessons Learnt from the Cryptanalysis of Chaos-Based Ciphers

Analysis and control of a hyperchaotic system with only one nonlinear term

A new digital communication scheme based on chaotic modulation

Contact Info

Product

Resources

About