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Digital Chaotic Synchronized Communication System

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Abstract

The experimental study of a secure chaotic synchronized communication system is presented. The synchronization betweentwo digital chaotic oscillators, serving as a transmitter-receiver scheme, is studied. The oscillators exhibit rich chaotic behaviorand are unidirectionally coupled, forming a master-slave topology. Both the input information signal and the transmittedchaotic signal are digital ones.
82
Research Article
Digital Chaotic Synchronized Communication System
S.G. Stavrinides*,1, A.N. Anagnostopoulos1, A.N. Miliou2, A. Valaristos2,
L. Magafas3, K. Kosmatopoulos1 and S. Papaioannou4
(1) Physics Department, Aristotle University of Thessaloniki, 54124, Thessaloniki, Greece.
(2) Department of Informatics, Aristotle University of Thessaloniki, 54124, Thessaloniki, Greece.
(3) Department of Electrical Engineering, Technological and Educational Institute of Kavala, Kavala, Greece.
(4) Department of Civil Engineering, Technological and Educational Institute of Serres, Serres, Greece.
Received 19 March 2009; Revised 16 June 2009; Accepted 12 July 2009
Abstract
The experimental study of a secure chaotic synchronized communication system is presented. The synchronization between
two digital chaotic oscillators, serving as a transmitter-receiver scheme, is studied. The oscillators exhibit rich chaotic be-
havior and are unidirectionally coupled, forming a master-slave topology. Both the input information signal and the trans-
mitted chaotic signal are digital ones.
Keywords: Nonlinear circuits, Chaotic circuits, Digital chaotic oscillator, Synchronization.
Journal of Engineering Science and Technology Review 2 (1) (2009) 82-86
JOURNAL OF
Engineering Science and
Technology Review
www.jestr.org
Nonlinear oscillator synchronization is a process that is frequently
encountered in nature, explaining relevant phenomena. A signi-
cant property that nonlinear dynamical systems possess is their
ability to be synchronized. As a consequence, chaotic system syn-
chronization is encountered in a variety of scientic elds, from
astronomy and electronic engineering to social sciences.
Chaotic deterministic signals exhibit several intrinsic fea-
tures, benecial to secure communication systems, both analog
and digital ones. Two key features of deterministic chaos are the
“noise-like” time series and the sensitive dependence on initial
conditions [1, 2]. Both of them grant to chaotic signals low prob-
ability of detection in chaotic transmissions and low probability of
decoding, in case of interception [3].
Due to their possible application for secure internet commu-
nications, a number of promising non-linear circuits, demonstrat-
ing chaotic behavior, have been presented in the last decade [4-8].
There are two main issues in studying the control of chaotic elec-
tronic circuits suitable for secure communications [9]. The rst one
is the way a non-linear circuit begins to operate in chaotic mode
(route to chaos) [2, 10, 11] and the second one is the achievement
of synchronization between transmitter-receiver [12, 13].
Since the discovery by Pecora and Carroll that chaotic sys-
tems can be synchronized [12], the topic of synchronization of
coupled chaotic circuits and systems has been studied intensely
[14] and some interesting applications such as broadband com-
munication systems or cryptographic systems have come out of
this research [15-18].
In this paper the system synchronization properties of a cha-
otic communication system, suitable for secure communication,
are examined.
2. Scheme and Circuit description
A very interesting electronic circuit exhibiting chaotic behavior
and with potential applications in secure communications, was
proposed and numerically examined in [19], while its transmitter
has been experimentally studied in [20]. The circuit, of the system
under question, is presented in Fig 1.
Both the transmitter and receiver, of this chaotic communi-
cation system, are second order non-linear non-autonomous elec-
tronic circuits, with their mode of operation depending on the ex-
ternally applied driving frequency. It has already been found that
the transmitter circuit exhibits the period doubling [21, 22] and the
intermittency [23, 24] routes to chaos as well as internal crisis [25],
in different ranges of driving signal frequency M(t).
The main advantage of this circuit is that it is capable of syn-
chronized chaotic communication, suitable for transmission of
digital signal. It should be noted that the transmitted chaotic sig-
nal is not analog but a discrete one. Moreover, there is no need of
transmitting any special synchronization signal. Synchronization is
achieved by the transmitted chaotic information (discrete) signal,
itself.
The transmitter and the receiver are identical circuits [19, 20].
* E-mail address: stavros@physics.auth.gr
ISSN: 1791-2377 © 2009 Kavala Institute of Technology. All rights reserved.
1. Introduction
83
S.G. Stavrinides, A.N. Anagnostopoulos, A.N. Miliou, A. Valaristos, L. Magafas, K. Kosmatopoulos and S. Papaioannou
/ Journal of Engineering Science and Technology Review 2(1) (2009) 82-86
Both the circuits include an integrator-based second-order RC reso-
nance loop, a comparator H (the circuit’s non-linear element), an
exclusive OR gate, with an input M(t), for the external source and
a buffer to avoid overloading of the ΧOR gate. The external excita-
tion M(t), that is necessary for non-autonomous oscillators, can be
either a sequence of square pulses of period T = 2π/ω or a more
complex signal, if one wants to encode an arbitrary message, for
example. This external excitation serves as the system’s informa-
tion signal.
The main target is the exact reconstruction, at receiver’s out-
put, of information signal M(t) applied at the transmitter circuit.
This is achieved by synchronously reconstructing U2 at the trans-
mitter’s-receiver’s analog output.
The principle of operation is demonstrated below. Here the
chaotic pulses U*(t) F(y1,t) drive the resonance loops (analog
part) of both the transmitter and the receiver. The transmitter sys-
tem is governed by the following set of equations:
(1a)
(1b)
(1c)
while the receiver is governed by:
(2a)
(2b)
It should be noted the same driving term αF(y1,t), in equa-
tions (1a) for the transmitter and (2a) for the receiver, which rep-
resents the system’s coupling factor. The following substitutions
have been used in the previous systems of equations, since the
parameters are written in a dimensionless form:
(3a)
(3b)
(3c)
The symbol stands for the XOR operation, while H
S
stands for the shifted Heaviside function H
S
(y) = H(-y+1). M(t) is
the normalized square pulse input signal of period T=2π/ω1.
The circuit demonstrates only damped oscillations, as long
as no excitation is applied to the XOR gate. The amplitude of the
oscillating variables U1 and U2 converges exponentially
to a stable steady state, for all reasonable initial conditions
o r while for a non zero external
drive M(t) the circuit becomes periodically forced, exhibiting
chaos.
Introducing in the set of equations (1), the error variables
Δx=x2-x1 and Δy=y2-y1, we obtain the equations governing the er-
ror dynamics:
(4)
The solution of (4) shows the exponential decrease of the
errors for all possible initial errors Δxo and Δyo. Thus, the synchro-
nization is globally asymptotically stable. This requirement leads
to the conclusion that for Δx 0 and Δy 0, the corresponding
state variables, are robustly synchronized (x1x2 and y1y2).
Consequently, the non-linear functions behave in a synchronous
way H(y2) H(y1) as well.
This result suggests an extremely simple technique of recov-
ering the signal M(t) at the receiver end. The received signal is
applied to the XOR unit of the receiver. Due to the sum mod2
property, the signal F(y1,t) can be recovered from the chaotic one
without any errors, according to:
(5)
3. Experimental Results
Synchronization between transmitter and receiver was ex-
perimentally veried. Both sub-circuits remained synchronized
under different conditions, regarding the circuit parameters, as
well as, the driving frequency fM, which was provided by a digital
signal generator (HM8130). It should be noted that the driving
frequency represents the external digital information that is fed to
the communication system.
In this section a typical modulation-demodulation procedure
through chaotic synchronization is presented. All signals were
monitored by a digital storage oscilloscope (HP54603B), further
Figure 1. Schematic diagram of the transmitter-receiver system
)
84
connected to a PC for recording and analysis purposes, so that the
proper characterization of the circuit behavior could be achieved.
Appropriate software, built in NI’s LabView environment, was
used in order to control all digital instruments used and process
the signals acquired [26].
The system’s parameters were set to be equal in both the
transmitter and the receiver circuits. In order to operate in a cha-
otic mode, the parameter values, for Uo=350mV and U*=4Vp-p,
were set at α = 6.35 and b = 0.02. For this set of parameter values,
the system exhibits chaotic behavior in various ranges of external
excitation fM (chaotic windows) and undergoes various routes to
chaos [21-25].
In order to study the system’s synchronization while it oper-
ates in a chaotic mode, the driving frequency was set to fM=6,222
ΚHz. In Fig. 2 the transmitter’s phase portrait (U1 vs. U2) is pre-
sented. The chaotic nature of signals U1 and U2 is evident. Next
to the phase portrait, the transmitter’s chaotic characterization has
been already conrmed in [20].
In Fig. 3 the driving pulse signal M(t) is shown, together with
its power spectrum. The periodic nature of M(t) is obvious. In Fig.
4(a) the signal F(y1,t) at the transmitter’s digital output appears,
while in Fig 4(b) the corresponding power spectrum is shown.
The power spectrum conrms the wideband nature of the output
signal. This wideband signal shows the impossibility of detecting
the original information by using simple ltering processes.
According to [27, 28], one can conclude that the present chaotic
communication scheme can be secure. Finally, in Fig. 5(a) the re-
covered signal is presented. Both the signals itself, as well as, the
corresponding power spectrum - Fig. 5(b) - demonstrate the fact
that the recovery procedure is quite exact.
Figure 2. The phase portrait U1-U2 characterizing the transmitter’s chaotic
operation.
Figure 3. a) Digital input signal M(t) and (b) Its power spectrum (FFT)
(a)
(b)
Figure 4. a) The transmitted chaotic signal F(t) and (b) its power spectrum
(FFT)
(a)
(b)
S.G. Stavrinides, A.N. Anagnostopoulos, A.N. Miliou, A. Valaristos, L. Magafas, K. Kosmatopoulos and S. Papaioannou
/ Journal of Engineering Science and Technology Review 2(1) (2009) 82-86
85
1. M.P. Hanias, L. Magafas, “Time series cross prediction in a single transis-
tor chaotic circuit using neural networks”, J. Engin. Science Tech. Re-
view, vol. 2, no. 1, pp. 8-11, 2009.
2. H.G. Shuster and W. Just, Deterministic Chaos: An Introduction, Wein-
haim: WILEY-VCH, 2005.
3. T. Yang and L. Chua, “Impulsive stabilazation for control and synchroni-
zation of chaotic systems: Theory and application to secure communica-
tion”, IEEE Trans. Circuits Syst. I, vol.44, no.10, pp.976-988, Oct. 1997
4. See for instance: Proc. 12th Int. Workshop on Nonlinear Dynamics of
Electronic Systems NDES’2004, Évora, Portugal, May 2004.
5. See for instance: Proc. 2005 IEEE International Symposium on Circuits
and Systems ISCAS’2005, Kobe, Japan, May 2005.
6. T. Yang, “A survey of chaotic secure communication systems”, Int. J.
Comp. Cognition, vol. 2, pp. 81-130, June 2004.
7. J.C. Pizolato Jr, M.A. Romero and L.G. Neto, “Chaotic Comunication
Based on the Particle-in-a-Box Electronic Circuit”, IEEE Trans. CAS-I,
vol. 55(4), pp. 11081115, May 2008.
8. G. Chen and T. Ueta, Chaos in Circuits and Systems, Singapore: World
Scientic, 2002.
9. E. Ott, C. Grebogi and J.A. Yorke, “Controlling chaos”, Phys. Rev. Lett.,
vol. 64, pp. 1196-1199, Mar. 1990.
10. E. Ott, Chaos in Dynamical Systems, Cambridge: Cambridge Univ. Press,
2002.
11. M.J. Ogorzalek, Chaos and Complexity in Nonlinear Electronic Circuits,
Singapore, World Scientic, 1997.
12. L.M. Pecora, T.L. Carroll, “Synchronization in chaotic systems”, Phys.
Rev. Lett., vol. 64, pp. 821-824, Feb. 1990.
13. A. Pikovsky, M. Rosenblum and J. Kurths, Synchronization. A universal
concept in nonlinear sciences, UK, Cambridge University Press, 2003.
14. C.W. Wu, Synchronization in Coupled Chaotic Circuits and Systems,
World Scientic, 2002.
15. K.M. Cuomo and A.V. Oppenheim, Circuit implementation of synchro-
nized chaos with applications to communications, Phys. Rev. Lett., 1993;
71: 65-68.
16. G. Kolumban, M.P. Kennedy and L.O. Chua, The role of synchronization
in digital communications using chaos – part I: fundamentals of digital
communications”, IEEE Trans. Circuits Syst.-I, 1997; 44: 927-936.
17. A.N Miliou, A.P. Valaristos, S.G. Stavrinides, K.G. Kyritsi and A.N. An-
agnostopoulos, Characterization of a non-autonomous second order non-
linear circuit for secure data transmission, Chaos Solitons & Fractals,
2007; 33(4): 1248-1255.
18. A.N Miliou, I.P. Antoniades, S.G. Stavrinides and A.N. Anagnostopou-
los, Secure communication by chaotic synchronization: Robustness under
noisy conditions, Nonlinear Analysis: Real World Applications, 2007; 8:
1003-1012.
19. G. Mykolaitis, A. Tamasevicious, A. Cenys, A. Namajunas, K. Navionis
References
It should be mentioned, that the system security depends
mainly on three major factors:
(a) The frequency of input signal M(t), since it should be in
the range that triggers the circuit to operate in a chaotic mode.
(b) The unfamiliarity of the topology used as a receiver cir-
cuit.
(c) The exact knowledge of all the parameters by any would-
be intruder.
Conclusions
A scheme capable of secure chaotic digital communication is
presented and experimentally studied. Both the information input
signal and the transmitted chaotic signal, are discrete (digital) sig-
nals. The chaotic nature of the transmitted signal was veried by
its power spectrum, while the transmitter’s chaotic mode of opera-
tion was checked by its phase portrait. The recovered signal, as
reconstructed after its synchronized demodulation in the receiver
circuit, appears to be the same with the input pulse-series. This is
conrmed by its power spectrum, which appears almost the same
with the one of the input signal.
Acknowledgments: SGS, ANM, ANA and AV acknowledge sup-
port to NATO project ICS.EAP.CLG.983334, while SGS and LM
acknowledge support to the Research and Fund Administration
Committee of Kavala TEI (Act 7/5-12-2006 Subject no.1).
Figure 5. a) The recovered signal at the receiver’s output and (b) its power
spectrum (FFT)
(a)
(b)
S.G. Stavrinides, A.N. Anagnostopoulos, A.N. Miliou, A. Valaristos, L. Magafas, K. Kosmatopoulos and S. Papaioannou
/ Journal of Engineering Science and Technology Review 2(1) (2009) 82-86
86
and A. Anagnostopoulos, “Globally synchronizable non-autonomous cha-
otic oscillator”, In Proc.7th Int. Workshop on Nonlinear Dynamics of
Electronic Systems NDES’99, Rønne, Denmark, pp. 277-280, 1999.
20. S.G. Stavrinides, Characterization of the behavior of a nonlinear electron-
ic oscillator producing chaotic signals, Phd Thesis, Aristotle University of
Thessaloniki, 2007.
21. S.G. Stavrinides, K.G. Kyritsi, N.C. Deliolanis, A.N. Anagnostopoulos,
A. Tamaševičious, and A. Čenys, “The period doubling route to chaos of
a second order non-linear non-autonomous chaotic oscillator – Part I”,
Chaos Solitons Fractals, vol. 20, pp. 849-854, May 2004.
22. S.G. Stavrinides, K.G. Kyritsi, N.C. Deliolanis, A.N. Anagnostopoulos,
A. Tamaševičious, and A. Čenys, “The period doubling route to chaos of
a second order non-linear non-autonomous chaotic oscillator – Part II”,
Chaos Solitons Fractals, vol. 20, pp. 843-847, May 2004.
23. S.G. Stavrinides, A.N Miliou, Th. Laopoulos, A.N. Anagnostopoulos,
“The Intermittency route to chaos of a second order non-Linear non-au-
tonomous oscillator”, Int. J. on Bifurcation & Chaos, vol. 18(5), pp. 1561-
1566, 2008.
24. S.G. Stavrinides, N.C. Deliolanis, Th. Laopoulos, I.M. Kyprianidis, A.
N. Miliou and A. N. Anagnostopoulos, “The intermittent behavior of a
second order non-linear non-autonomous oscillator”, Chaos Solitons and
Fractals, 36(5), pp. 1191-1199, 2008.
25. S.G. Stavrinides, N.C. Deliolanis, A.N Miliou, Th. Laopoulos, and A.N.
Anagnostopoulos, “Internal crisis in a second order non-linear non-auton-
omous electronic oscillator”, Chaos Solitons & Fractals, 36(4), pp. 1055-
1061, 2008.
26. S.G. Stavrinides, Th. Laopoulos, A.N. Anagnostopoulos, “An Automated
Acquisition Setup for the analysis of chaotic systems”, In Proc. IEEE
IDAACS, pp. 628-632, Soa, Bulgaria, 2005.
27. G. Perez and H.A. Cerdeira, “Extracting messages masked by chaos”,
Phys. Rev. Lett., vol. 74, pp. 1970-1973, Mar. 1995.
28. C. Tao, G. Du and Y. Zhang, “Decoding digital information from the cas-
caded heterogeneous chaotic systems”, Int. J. Bifurc. Chaos, vol. 13(6),
pp. 1599-1608, 2003.
S.G. Stavrinides, A.N. Anagnostopoulos, A.N. Miliou, A. Valaristos, L. Magafas, K. Kosmatopoulos and S. Papaioannou
/ Journal of Engineering Science and Technology Review 2(1) (2009) 82-86
... The synchronized nonlinear circuits proposed until now are in most cases analog ones and very rarely mixed-signal ones. Even in the latter case, the design of the chaotic oscillating sub-circuit is achieved by means of an analog approach [26]. In this paper a purely digital, lightweight, chaotic-synchronized scheme for encrypted communication, suitable for IoT applications, is presented. ...
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... The synchronized nonlinear circuits proposed until now are in most cases analog ones and very rarely mixed-signal ones. Even in the latter case, the design of the chaotic oscillating sub-circuit is achieved by means of an analog approach [22]. In this paper a purely digital, lightweight, chaotic-synchronized scheme for encrypted communication, suitable for IoT applications, is presented. ...
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... In our approach, two channels are utilized, one for achieving synchronisation and another for transmitting information. The signal produced by the chaotic circuits is digitised and processed according to the method described in [3], [4]. After being processed, this signal is used to encrypt a message, by performing an XOR operation. ...
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The design and implementation of an acquisition setup dedicated to the experimental evaluation and characterization of chaotic electronic circuits is presented. The whole setup was created using National Instrument's Labview environment and it is structured in a way that it is independent of the devices used for the experimental recording of the necessary data. Next to the signal's power spectrum, the embedding and correlation dimensions are calculated as well as the Kolmogorov entropy. The last two can lead to conclusions about a circuit's performance in a periodic or chaotic mode.
Chapter
An analog circuit implementation of the chaotic Lorenz system is described and used to demonstrate two possible approaches to private communications based on synchronized chaotic systems. Furthermore, the potential approach to communications applications is based on signal masking and recovery. In signal masking, a noise like masking signal is added at the transmitter to the information-bearing signal m(t) and at the receiver the masking is removed. In our system, the basic idea is to use the received signal to regenerate the masking signal at the receiver and subtract it from the received signal to recover m(t).
Book
Over the past two decades scientists, mathematicians, and engineers have come to understand that a large variety of systems exhibit complicated evolution with time. This complicated behavior is known as chaos. In the new edition of this classic textbook Edward Ott has added much new material and has significantly increased the number of homework problems. The most important change is the addition of a completely new chapter on control and synchronization of chaos. Other changes include new material on riddled basins of attraction, phase locking of globally coupled oscillators, fractal aspects of fluid advection by Lagrangian chaotic flows, magnetic dynamos, and strange nonchaotic attractors. This new edition will be of interest to advanced undergraduates and graduate students in science, engineering, and mathematics taking courses in chaotic dynamics, as well as to researchers in the subject.
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Preface 1. Introduction Part I. Synchronization Without Formulae: 2. Basic notions: the self-sustained oscillator and its phase 3. Synchronization of a periodic oscillator by external force 4. Synchronization of two and many oscillators 5. Synchronization of chaotic systems 6. Detecting synchronization in experiments Part II. Phase Locking and Frequency Entrainment: 7. Synchronization of periodic oscillators by periodic external action 8. Mutual synchronization of two interacting periodic oscillators 9. Synchronization in the presence of noise 10. Phase synchronization of chaotic systems 11. Synchronization in oscillatory media 12. Populations of globally coupled oscillators Part III. Synchronization of Chaotic Systems: 13. Complete synchronization I: basic concepts 14. Complete synchronization II: generalizations and complex systems 15. Synchronization of complex dynamics by external forces Appendix 1. Discovery of synchronization by Christiaan Huygens Appendix 2. Instantaneous phase and frequency of a signal References Index.
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We review some of the history and early work in the area of synchronization in chaotic systems. We start with our own discovery of the phenomenon, but go on to establish the historical timeline of this topic back to the earliest known paper. The topic of synchronization of chaotic systems has always been intriguing, since chaotic systems are known to resist synchronization because of their positive Lyapunov exponents. The convergence of the two systems to identical trajectories is a surprise. We show how people originally thought about this process and how the concept of synchronization changed over the years to a more geometric view using synchronization manifolds. We also show that building synchronizing systems leads naturally to engineering more complex systems whose constituents are chaotic, but which can be tuned to output various chaotic signals. We finally end up at a topic that is still in very active exploration today and that is synchronization of dynamical systems in networks of oscillators.
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The experimental time-series produced by a non-autonomous second order non-linear oscillator were registered and evaluated. The correlation and embedding dimensions of the oscillator system were estimated. As deduced from the numerically calculated Kolmogorov entropies the system for certain conditions undergoes a period doubling route to chaos.