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A secure communication method based on time-delayed memristive chaotic neural network

A neural network and secure communication technology, applied in the field of secure communication based on time-delayed memristive chaotic neural network, can solve the problems of high energy consumption and low signal security, and achieve low energy consumption, difficult to crack, and physical realization of the network convenient effect

Active Publication Date: 2019-01-04
北京万智千鸿科技有限公司
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  • Summary
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] At present, in the existing neural network secure communication schemes, but these schemes are mainly determined by the weight of the neural network, because the security of the signal in the secure communication is low; in addition, through the actual simulation When the circuit is realized, the energy consumption generated is also relatively large

Method used

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  • A secure communication method based on time-delayed memristive chaotic neural network
  • A secure communication method based on time-delayed memristive chaotic neural network
  • A secure communication method based on time-delayed memristive chaotic neural network

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Embodiment Construction

[0024] In order to better understand the technical solution of the present invention, the implementation manner is further described in detail below, and an application example is used to illustrate the specific implementation manner, but is not limited thereto.

[0025] The plaintext signal to be encrypted is designed to be r(t), where t represents time. The overall structural block diagram of the inventive method is as figure 1 As shown, the specific implementation method can be divided into the following steps:

[0026] (1) Description of two-dimensional time-delay memristive chaotic neural network

[0027] a. Establish a time-delayed memristive chaotic neural network drive system

[0028] The time-delayed memristive chaotic neural network is selected as

[0029]

[0030] where: x 1 , x 2 is the drive system state variable, f i (x i ) = g i (x i ) = tanh(x i ), i, j=1, 2. is the time-delay memristive chaotic neural network activation function, is the time del...

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Abstract

The invention discloses a secret communication method based on a time-lag memristor chaos neural network. According to the method, a driving system and a response system are established by utilizing a two-dimensional time-lag memristor chaos neural network and a simple synchronous controller is designed to enable a clear text signal to be coded to achieve a good secret communication effect in transmission. The method overcomes the defects that a conventional chaos neural network is poor in secrecy performance and fixed in weight and consumes much network energy and the like, and provides a brand-new solution to secret communication and transmission of signals.

Description

technical field [0001] The invention relates to the fields of chaotic neural network and secure communication, in particular to a method for secure communication based on time-delayed memristive chaotic neural network. Background technique [0002] In recent years, the research and application of chaotic neural network has been a hot spot in computer and pattern recognition, neurophysiology and control theory and other related fields. Because of its chaotic nature, the apparent aperiodicity implies orderliness, so the chaotic neural network has great potential in image processing, associative memory, pattern recognition and secure communication. In 1971, Leon O. Chua, a professor in the Department of Electrical Engineering and Computer Science at the University of California, Berkeley, predicted the existence of a fourth fundamental electronic component, the memristor. Hewlett-Packard Laboratories developed the memristor in 2008. This device is a nano-scale passive two-ter...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04L9/00H04K1/02G06N3/04
Inventor 段飞腾楼旭阳崔宝同
Owner 北京万智千鸿科技有限公司