A Chaotification Model Based on Modulo Operator and Secant Functions for Enhancing Chaos
Yıl 2022,
Cilt: 4 Sayı: 4, 274 - 284, 31.12.2022
Nikolaos Charalampidis
,
Christos K. Volos
,
Lazaros Moysıs
,
Ioannis Stouboulos
Öz
Many drawbacks in chaos-based applications emerge from the chaotic maps' poor dynamic properties. To address this problem, in this paper a chaotification model based on modulo operator and secant functions to augment the dynamic properties of existing chaotic maps is proposed. It is demonstrated that by selecting appropriate parameters, the resulting map can achieve a higher Lyapunov exponent than its seed map. This chaotification method is applied to several well-known maps from the literature, and it produces increased chaotic behavior in all cases, as evidenced by their bifurcation and Lyapunov exponent diagrams. Furthermore, to illustrate that the proposed chaotification model can be considered in chaos-based encryption and related applications, a voice signal encryption process is considered, and different tests are being used with respect to attacks, like brute force, entropy, correlation, and histogram analysis.
Kaynakça
- Abd, M. H., G. A. Al-Suhail, F. R. Tahir, A. M. Ali Ali, H. A. Abbood,
et al., 2022 Synchronization of monostatic radar using a timedelayed
chaos-based fm waveform. Remote Sensing 14: 1984.
- Ablay, G., 2022 Lyapunov exponent enhancement in chaotic maps
with uniform distribution modulo one transformation. Chaos
Theory and Applications 4: 45–58.
- Adeyemi, V.-A., E. Tlelo-Cuautle, F.-J. Perez-Pinal, and J.-C. Nuñez-
Perez, 2022 Optimizing the maximum lyapunov exponent of
fractional order chaotic spherical system by evolutionary algorithms.
Fractal and Fractional 6: 448.
- Alawida, M., J. S. Teh, A. Mehmood, A. Shoufan, et al., 2022 A
chaos-based block cipher based on an enhanced logistic map
and simultaneous confusion-diffusion operations. Journal of
King Saud University-Computer and Information Sciences .
- Algarni, A. D., N. F. Soliman, H. A. Abdallah, A. El-Samie, and
E. Fathi, 2021 Encryption of ecg signals for telemedicine applications.
Multimedia Tools and Applications 80: 10679–10703.
- Alvarez, G. and S. Li, 2006 Some basic cryptographic requirements
for chaos-based cryptosystems. International journal of bifurcation
and chaos 16: 2129–2151.
- Borah, M., A. Gayan, J. S. Sharma, Y. Chen, Z. Wei, et al., 2022
Is fractional-order chaos theory the new tool to model chaotic
pandemics as covid-19? Nonlinear Dynamics pp. 1–29.
- Bovy, J., 2004 Lyapunov exponents and strange attractors in
discrete and continuous dynamical systems. Theoretica Phys.
Project, Catholic Univ. Leuven, Flanders, Belgium, Tech. Rep 9:
1–19.
- Chen, W., J. Zhuang, W. Yu, and Z. Wang, 2009 Measuring complexity
using fuzzyen, apen, and sampen. Medical engineering
& physics 31: 61–68.
- de la Fraga, L. G., E. Tlelo-Cuautle, V. Carbajal-Gómez, and
J. Munoz-Pacheco, 2012 On maximizing positive lyapunov exponents
in a chaotic oscillator with heuristics. Revista mexicana
de física 58: 274–281.
- Dong, C., K. Rajagopal, S. He, S. Jafari, and K. Sun, 2021 Chaotification
of sine-series maps based on the internal perturbation
model. Results in Physics 31: 105010.
- Elshamy, E. M., E.-S. M. El-Rabaie, O. S. Faragallah, O. A.
Elshakankiry, A. El-Samie, et al., 2015 Efficient audio cryptosystem
based on chaotic maps and double random phase encoding.
International Journal of Speech Technology 18: 619–631.
- Fadil, E., A. Abass, and S. Tahhan, 2022 Secure wdm-free space
optical communication system based optical chaotic. Optical
and Quantum Electronics 54: 1–14.
- Grassi, G., 2021 Chaos in the real world: Recent applications to
communications, computing, distributed sensing, robotic motion,
bio-impedance modelling and encryption systems. Symmetry
13: 2151.
- Hua, Z., B. Zhou, and Y. Zhou, 2018 Sine chaotification model
for enhancing chaos and its hardware implementation. IEEE
Transactions on Industrial Electronics 66: 1273–1284.
- Li, Y., X. He, and D. Xia, 2021 A chaotification model based on sine
and cosecant functions for enhancing chaos. Modern Physics
Letters B 35: 2150258.
- Liu, L., H. Xiang, and X. Li, 2021 A novel perturbation method
to reduce the dynamical degradation of digital chaotic maps.
Nonlinear Dynamics 103: 1099–1115.
- Mammedov, Y. D., E. U. Olugu, and G. A. Farah, 2022 Weather
forecasting based on data-driven and physics-informed reservoir
computing models. Environmental Science and Pollution
Research 29: 24131–24144.
- Mosa, E., N.W. Messiha, O. Zahran, A. El-Samie, and E. Fathi, 2011
Chaotic encryption of speech signals. International Journal of
Speech Technology 14: 285–296.
- Moysis, L., D. N. Butusov, A. Tutueva, V. Ostrovskii, I. Kafetzis,
et al., 2022a Introducing chaos and chaos based encryption applications
to university students-case report of a seminar. In
2022 11th International Conference on Modern Circuits and Systems
Technologies (MOCAST), pp. 1–6, IEEE.
- Moysis, L., I. Kafetzis, M. S. Baptista, and C. Volos, 2022b Chaotification
of one-dimensional maps based on remainder operator
addition. Mathematics 10: 2801.
- Nagashima, H., Y. Baba, and M. Nakahara, 2019 Introduction to
chaos: physics and mathematics of chaotic phenomena. CRC Press.
- Natiq, H., S. Banerjee, and M. Said, 2019 Cosine chaotification
technique to enhance chaos and complexity of discrete systems.
The European Physical Journal Special Topics 228: 185–194.
- Petavratzis, E., C. Volos, L. Moysis, H. Nistazakis, A. Giakoumis,
et al., 2022 Experimental coverage performance of a chaotic autonomous
mobile robot. In 2022 11th International Conference on
Modern Circuits and Systems Technologies (MOCAST), pp. 1–4,
IEEE.
- Pincus, S. M., 1991 Approximate entropy as a measure of system
complexity. Proceedings of the National Academy of Sciences
88: 2297–2301.
- Renza, D., S. Mendoza, et al., 2019 High-uncertainty audio signal
encryption based on the collatz conjecture. Journal of Information
Security and Applications 46: 62–69.
- Sayed,W. S., A. G. Radwan, H. A. Fahmy, and A. El-Sedeek, 2020
Software and hardware implementation sensitivity of chaotic
systems and impact on encryption applications. Circuits, Systems,
and Signal Processing 39: 5638–5655.
- Shahi, S., F. H. Fenton, and E. M. Cherry, 2022 Prediction of chaotic
time series using recurrent neural networks and reservoir computing
techniques: A comparative study. Machine Learning with
Applications 8: 100300.
- Teh, J. S., M. Alawida, and Y. C. Sii, 2020 Implementation and practical
problems of chaos-based cryptography revisited. Journal of
Information Security and Applications 50: 102421.
- Wang, B., J. Liu, M. O. Alassafi, F. E. Alsaadi, H. Jahanshahi, et al.,
2022 Intelligent parameter identification and prediction of variable
time fractional derivative and application in a symmetric
chaotic financial system. Chaos, Solitons & Fractals 154: 111590.
- Wu, Q., 2021 Cascade-sine chaotification model for producing
chaos. Nonlinear Dynamics 106: 2607–2620.
- Xiu, C., J. Fang, and X. Ma, 2022 Design and circuit implementations
of multimemristive hyperchaotic system. Chaos, Solitons
& Fractals 161: 112409.
- Zeraoulia, E., 2012 Robust chaos and its applications, volume 79.
World Scientific.
- Zhang, Z., H. Zhu, P. Ban, Y. Wang, and L. Y. Y. Zhang, 2022 Buffeting
chaotification model for enhancing chaos and its hardware
implementation. IEEE Transactions on Industrial Electronics .
Yıl 2022,
Cilt: 4 Sayı: 4, 274 - 284, 31.12.2022
Nikolaos Charalampidis
,
Christos K. Volos
,
Lazaros Moysıs
,
Ioannis Stouboulos
Kaynakça
- Abd, M. H., G. A. Al-Suhail, F. R. Tahir, A. M. Ali Ali, H. A. Abbood,
et al., 2022 Synchronization of monostatic radar using a timedelayed
chaos-based fm waveform. Remote Sensing 14: 1984.
- Ablay, G., 2022 Lyapunov exponent enhancement in chaotic maps
with uniform distribution modulo one transformation. Chaos
Theory and Applications 4: 45–58.
- Adeyemi, V.-A., E. Tlelo-Cuautle, F.-J. Perez-Pinal, and J.-C. Nuñez-
Perez, 2022 Optimizing the maximum lyapunov exponent of
fractional order chaotic spherical system by evolutionary algorithms.
Fractal and Fractional 6: 448.
- Alawida, M., J. S. Teh, A. Mehmood, A. Shoufan, et al., 2022 A
chaos-based block cipher based on an enhanced logistic map
and simultaneous confusion-diffusion operations. Journal of
King Saud University-Computer and Information Sciences .
- Algarni, A. D., N. F. Soliman, H. A. Abdallah, A. El-Samie, and
E. Fathi, 2021 Encryption of ecg signals for telemedicine applications.
Multimedia Tools and Applications 80: 10679–10703.
- Alvarez, G. and S. Li, 2006 Some basic cryptographic requirements
for chaos-based cryptosystems. International journal of bifurcation
and chaos 16: 2129–2151.
- Borah, M., A. Gayan, J. S. Sharma, Y. Chen, Z. Wei, et al., 2022
Is fractional-order chaos theory the new tool to model chaotic
pandemics as covid-19? Nonlinear Dynamics pp. 1–29.
- Bovy, J., 2004 Lyapunov exponents and strange attractors in
discrete and continuous dynamical systems. Theoretica Phys.
Project, Catholic Univ. Leuven, Flanders, Belgium, Tech. Rep 9:
1–19.
- Chen, W., J. Zhuang, W. Yu, and Z. Wang, 2009 Measuring complexity
using fuzzyen, apen, and sampen. Medical engineering
& physics 31: 61–68.
- de la Fraga, L. G., E. Tlelo-Cuautle, V. Carbajal-Gómez, and
J. Munoz-Pacheco, 2012 On maximizing positive lyapunov exponents
in a chaotic oscillator with heuristics. Revista mexicana
de física 58: 274–281.
- Dong, C., K. Rajagopal, S. He, S. Jafari, and K. Sun, 2021 Chaotification
of sine-series maps based on the internal perturbation
model. Results in Physics 31: 105010.
- Elshamy, E. M., E.-S. M. El-Rabaie, O. S. Faragallah, O. A.
Elshakankiry, A. El-Samie, et al., 2015 Efficient audio cryptosystem
based on chaotic maps and double random phase encoding.
International Journal of Speech Technology 18: 619–631.
- Fadil, E., A. Abass, and S. Tahhan, 2022 Secure wdm-free space
optical communication system based optical chaotic. Optical
and Quantum Electronics 54: 1–14.
- Grassi, G., 2021 Chaos in the real world: Recent applications to
communications, computing, distributed sensing, robotic motion,
bio-impedance modelling and encryption systems. Symmetry
13: 2151.
- Hua, Z., B. Zhou, and Y. Zhou, 2018 Sine chaotification model
for enhancing chaos and its hardware implementation. IEEE
Transactions on Industrial Electronics 66: 1273–1284.
- Li, Y., X. He, and D. Xia, 2021 A chaotification model based on sine
and cosecant functions for enhancing chaos. Modern Physics
Letters B 35: 2150258.
- Liu, L., H. Xiang, and X. Li, 2021 A novel perturbation method
to reduce the dynamical degradation of digital chaotic maps.
Nonlinear Dynamics 103: 1099–1115.
- Mammedov, Y. D., E. U. Olugu, and G. A. Farah, 2022 Weather
forecasting based on data-driven and physics-informed reservoir
computing models. Environmental Science and Pollution
Research 29: 24131–24144.
- Mosa, E., N.W. Messiha, O. Zahran, A. El-Samie, and E. Fathi, 2011
Chaotic encryption of speech signals. International Journal of
Speech Technology 14: 285–296.
- Moysis, L., D. N. Butusov, A. Tutueva, V. Ostrovskii, I. Kafetzis,
et al., 2022a Introducing chaos and chaos based encryption applications
to university students-case report of a seminar. In
2022 11th International Conference on Modern Circuits and Systems
Technologies (MOCAST), pp. 1–6, IEEE.
- Moysis, L., I. Kafetzis, M. S. Baptista, and C. Volos, 2022b Chaotification
of one-dimensional maps based on remainder operator
addition. Mathematics 10: 2801.
- Nagashima, H., Y. Baba, and M. Nakahara, 2019 Introduction to
chaos: physics and mathematics of chaotic phenomena. CRC Press.
- Natiq, H., S. Banerjee, and M. Said, 2019 Cosine chaotification
technique to enhance chaos and complexity of discrete systems.
The European Physical Journal Special Topics 228: 185–194.
- Petavratzis, E., C. Volos, L. Moysis, H. Nistazakis, A. Giakoumis,
et al., 2022 Experimental coverage performance of a chaotic autonomous
mobile robot. In 2022 11th International Conference on
Modern Circuits and Systems Technologies (MOCAST), pp. 1–4,
IEEE.
- Pincus, S. M., 1991 Approximate entropy as a measure of system
complexity. Proceedings of the National Academy of Sciences
88: 2297–2301.
- Renza, D., S. Mendoza, et al., 2019 High-uncertainty audio signal
encryption based on the collatz conjecture. Journal of Information
Security and Applications 46: 62–69.
- Sayed,W. S., A. G. Radwan, H. A. Fahmy, and A. El-Sedeek, 2020
Software and hardware implementation sensitivity of chaotic
systems and impact on encryption applications. Circuits, Systems,
and Signal Processing 39: 5638–5655.
- Shahi, S., F. H. Fenton, and E. M. Cherry, 2022 Prediction of chaotic
time series using recurrent neural networks and reservoir computing
techniques: A comparative study. Machine Learning with
Applications 8: 100300.
- Teh, J. S., M. Alawida, and Y. C. Sii, 2020 Implementation and practical
problems of chaos-based cryptography revisited. Journal of
Information Security and Applications 50: 102421.
- Wang, B., J. Liu, M. O. Alassafi, F. E. Alsaadi, H. Jahanshahi, et al.,
2022 Intelligent parameter identification and prediction of variable
time fractional derivative and application in a symmetric
chaotic financial system. Chaos, Solitons & Fractals 154: 111590.
- Wu, Q., 2021 Cascade-sine chaotification model for producing
chaos. Nonlinear Dynamics 106: 2607–2620.
- Xiu, C., J. Fang, and X. Ma, 2022 Design and circuit implementations
of multimemristive hyperchaotic system. Chaos, Solitons
& Fractals 161: 112409.
- Zeraoulia, E., 2012 Robust chaos and its applications, volume 79.
World Scientific.
- Zhang, Z., H. Zhu, P. Ban, Y. Wang, and L. Y. Y. Zhang, 2022 Buffeting
chaotification model for enhancing chaos and its hardware
implementation. IEEE Transactions on Industrial Electronics .