Chaotic neural network encryption communication circuit

Abstract

The invention relates to a chaotic neural network encryption communication circuit, in particular to an encryption communication circuit based on a chaotic neuron network with a time delay state. A clear text signal i(t) of a transmission end drives a first time delay chaotic neural network system through a reversed phase amplification circuit, the first time delay chaotic neural network system outputs a chaotic signal x(t), the chaotic signal x(t) and the clear text signal i(t) are overlapped to generate a signal x(t)+i(t), an encryption transmission signal s(t) is generated through an encryption scheme circuit; and the encryption transmission signal s(t) is transmitted to a receiving end through a transmission channel, the signal x(t)+i(t) is solved through corresponding decryption scheme circuit to drive a second time delay chaotic neural network system, the second time delay chaotic neural network system generates a corresponding chaotic signal y(t) synchronous with the chaotic signal x(t), and the signal x(t)+i(t) is subtracted from the chaotic signal y(t) to obtain a clear text signal r(t). The chaotic neural network encryption communication circuit overcomes the defects that confidentiality of a common low-dimensional chaotic system is poor and a high-dimensional chaotic system is difficult to be physically implemented, implements encryption transmission function of the clear text signal, and effectively simplifies a real circuit device.

Description

Technical field [0001] The invention relates to a chaotic neural network secure communication circuit, in particular to a secure communication circuit based on a chaotic neuron network with a delay state, and belongs to the field of communication. Background technique [0002] Chaos neural network is a new science developed in recent years. Because artificial neural networks with chaotic characteristics have very complex dynamics and the chaotic signals produced by them are unpredictable, chaotic neural networks have potential applications in data encryption, secure communication and information processing. At present, most of the research on the use of chaotic neural networks for secure communication is based on transient chaotic neural networks, but this type of chaotic neural network is difficult to implement in actual circuits, which limits its application range. In addition, the current low-dimensional chaotic circuit system has low security and is vulnerable to threats, wh...

AI Technical Summary

Problems solved by technology

The main reason is that the system model is simple, with more complex infinite-dimensional dynamics and finite high-dimensional synchronous attractors, as well as multiple positive Lyapunov exponents, and as the delay increases, the system exhibits multiple stability

Images