Abstract
Chaos theory is considered as a tool for studying the systems that show divergence and disorder. After having used discrete mathematics to deduce non-convergence situations, these theories are modeled in the form of a dynamic system and are applied in several domains such as electronic, mechanic, network security, etc. In network security domain, the development of new cryptosystems based on chaos is a relatively new area of research and is increasingly relevant. The essence of the theoretical and practical efforts in this field derive from the fact that these cryptosystems are faster than conventional methods, while ensuring performance of security, at least similar. In this paper, we discuss several proposals about chaos-based cryptosystem and pseudo-random number generator (PRNG). Moreover, topology and architecture of the proposed chaos systems are detailed. Finally, in order to show the more suitable system for encryption and secure communication, a synthesis comparison is presented and considered.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
B. Bouteghrine, M. Rabiai, C. Tanougast, S. Sadoudi, FPGA implementation of Internet key exchange based on chaotic cryptosystem, in 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS) (Metz, France, 2019), pp. 384–387
B. Baruah, M. Saikia, An FPGA implementation of chaos based image encryption and its performance analysis. IJCSN Int. J. Comput. Sci. Netw. 5, 5 (2016) (Unpaginated)
S. Chen, S. Yu, J. Lu, G. Chen, J. He, Design and FPGA-based realization of a chaotic secure video communication system. IEEE Trans. Circuits Syst. Video Technol. 28(9), 2359–2371 (2017)
H. Sreenath, G. Narayanan, FPGA implementation of pseudo chaos-signal generator for secure communication systems, in 2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI) (Bangalore, India, 2018), pp. 804–807
B. Bouteghrine, M. Rabiai, C. Tanougast, S. Sadoudi, Hardware implementation of secured socket communication based on chaotic cryptosystem, in 2019 International Conference on Cyber Security and Protection of Digital Services (Cyber Security) (Oxford, UK, 2019), pp. 1–4
A. Qi, C. Han, G. Wang, Design and FPGA realization of a pseudo random sequence generator based on a switched chaos, in 2010 International Conference on Communications, Circuits and Systems (ICCCAS) (Chengdu, China, 2010), pp. 417–420
J. Lu, X. Wu, X. Han, J. Lu, Adaptive feedback synchronization of a unified chaotic system. Phys. Lett. A 329(4–5), 327–333 (2004)
M.S. Azzaz et al., FPGA implementation of new real-time image encryption based switching chaotic systems, in IET Irish Signals and Systems Conference (ISSC 2009), vol. 56. (Dublin. Ireland, 2009)
M. Tuna, A novel secure chaos-based pseudo random number generator based on ANN-based chaotic and ring oscillator: design and its FPGA implementation. Analog Integr. Circ. Sig. Process 105(2), 167–181 (2020)
A. Senouci et al., FPGA based hardware and device-independent implementation of chaotic generators. AEU-Int. J. Electron. Commun. 82, 211–220 (2017)
F. Yu et al., Design and FPGA implementation of a pseudo-random number generator based on a four-wing memristive hyperchaotic system and Bernoulli map. IEEE Access 7, 181884–181898 (2019)
I. Koyuncu et al., Design, FPGA implementation and statistical analysis of chaos-ring based dual entropy core true random number generator. Analog Integr. Circ. Sig. Process. 102(2), 445–456 (2020)
C.H. Yang, Y.S. Chien, FPGA implementation and design of a hybrid Chaos-AES color image encryption algorithm. Symmetry 12(2), 189 (2020)
M. Garcia-Bosque et al., Chaos-based bitwise dynamical pseudorandom number generator on FPGA. IEEE Trans. Instrum. Measur. 68(1), 291–293 (2018)
Z. Hua, B. Zhou, Y. Zhou, Sine-transform-based chaotic system with FPGA implementation. IEEE Trans. Industr. Electron. 65(3), 2557–2566 (2017)
A.M. Atteya, A.H. Madian, A hybrid Chaos-AES encryption algorithm and its implemention based on FPGA, in IEEE 12th International New Circuits and Systems Conference (NEWCAS), vols. 217–220 (Quebec, Canada, 2014)
L. Merah et al., FPGA hardware co-simulation of new chaos-based stream cipher based on Lozi map. Int. J. Eng. Technol. 9(5), 420–425 (2017)
Y. Mao, L. Cao and W. Liu, Design and FPGA implementation of a pseudo-random bit sequence generator using spatiotemporal chaos, in 2006 International Conference on Communications, Circuits and Systems (Guangzi, China, 2006), pp. 2114–2118
D.I. Lanlege et al., Comparison of Euler and Range-Kutta methods in solving ordinary differential equations of order two and four. Leonardo J. Sci. 32, 10–37 (2018)
S.C. Palligkinis, G. Papageorgiou, I.T. Famelis, Runge-Kutta methods for fuzzy differential equations. Appl. Math. Comput. 209, 97–105 (2009)
C.H. Yang, H.C. Wu, S.F. Su, Implementation of encryption algorithm and wireless image transmission system on FPGA. IEEE Access 7, 50513–50523 (2019)
P. Dabal, R. Pelka, A chaos-based pseudo-random bit generator implemented in FPGA device, in 14th IEEE International Symposium on Design and Diagnostics of Electronic Circuits and Systems (Cottbus, Germany, 2011), pp. 151–154
R. Hobincu, O. Datcu, FPGA implementation of a chaos based PRNG targetting secret communication, International Symposium on Electronics and Telecommunications (ISETC), Timisoara. Romania 1–4, 2018 (2018)
E. Tlelo-Cuautle et al., FPGA realization of a chaotic communication system applied to image processing. Nonlinear Dyn. 82(4), 1879–1892 (2015)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Bouteghrine, B., Tanougast, C., Sadoudi, S. (2022). A Survey on Chaos-Based Cryptosystems: Implementations and Applications. In: Skiadas, C.H., Dimotikalis, Y. (eds) 14th Chaotic Modeling and Simulation International Conference. CHAOS 2021. Springer Proceedings in Complexity. Springer, Cham. https://doi.org/10.1007/978-3-030-96964-6_6
Download citation
DOI: https://doi.org/10.1007/978-3-030-96964-6_6
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-96963-9
Online ISBN: 978-3-030-96964-6
eBook Packages: Physics and AstronomyPhysics and Astronomy (R0)