Abstract
This paper is concerned with the design of synchronized large-scale chaos random number generators (CRNGs) and its application to secure communication. In order to increase the diversity of chaotic signals, we firstly introduce additional modulation parameters in the original chaotic Duffing map system to modulate the amplitude and DC offset of the chaotic states. Then according to the butterfly effect, we implement modulated Duffing map systems with different initial values by using the microcontroller and complete the design of large-scale CRNGs. Next, a discrete sliding mode scheme is proposed to solve the synchronization problem of the master-slave large-scale CRNGs. Finally, we integrate the aforementioned results to implement an innovative secure communication system.
Highlights
Chaotic system is a complex nonlinear system
The chaos behavior might be undesired in most mechanical systems, the noise-like behavior of chaos is useful to the application of image encryption and secure communication [4,5,6,7,8]
In this paper, we study the design of synchronized large-scale chaos random number generators (CRNGs) and its application to secure communication
Summary
Among proposed control designs, sliding mode control method is often the first choice for researchers because it is not sensitive to system parameters and external disturbances and with good robustness In these two decades, chaotic systems have been widely applied in the areas of communication, medicine and biology to solve several important engineering problems, especially in the security field of communication. In this paper, we study the design of synchronized large-scale CRNGs and its application to secure communication. We can get a large amount of random chaotic states and complete the design of large-scale CRNGs. For subsequent communication security application, we use sliding mode control to cope with the synchronization problem of the master-slave large-scale. The above results are integrated to realize an innovative secure communication system to prove the correctness and feasibility of the research
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