Optical access encryption method based on multi-frequency sine chaos neural network

A technology of neural network and encryption method, which is applied in the field of optical access encryption based on multi-frequency sinusoidal chaotic neural network, can solve problems such as powerlessness, difficulty in transmission and distribution, etc., to enhance security, reduce information transmission costs, The effect of enhancing complexity

Inactive Publication Date: 2021-05-14
NANJING UNIV OF INFORMATION SCI & TECH
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  • Application Information

AI Technical Summary

Problems solved by technology

At present, the more secure encryption method is "one-time encryption", that is, each time information is sent, there is a different encryption key. However, in the face of such a huge amount of data, it is often difficult to transmit and distribute. Traditional cryptography The era of information explosion is powerless, and due to the emer

Method used

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  • Optical access encryption method based on multi-frequency sine chaos neural network
  • Optical access encryption method based on multi-frequency sine chaos neural network
  • Optical access encryption method based on multi-frequency sine chaos neural network

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Embodiment Construction

[0035] Step 1. Generate a chaotic sequence through a multi-frequency sinusoidal chaotic neural network, and take the first digit of the effective value of each element in the chaotic sequence (if it is a few tenths, take one digit after the decimal point, and if it is a few tenths, take the decimal point The second digit after), get an integer symbol sequence X 1 k, again using the sequence of integer symbols X 1 k generates a scrambling matrix X 2 k and permutation matrix X 3 k;

[0036] scramble matrix X 2 Generation of k: for integer symbol sequence X 1 Each element in k is judged, if it is greater than 5, it takes 1, if it is less than or equal to 5, it takes 0, and a set of scrambling matrix X composed of 0 and 1 is generated 2 k;

[0037] permutation matrix X 3 Generation of k: generate pairs of integer symbol sequences X1 K is the transposed matrix X that takes the reciprocal after size sorting 4 k, the sequence of integer symbols X 1 k and the transpose matrix...

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Abstract

The invention relates to an optical access encryption method based on a multi-frequency sine chaos neural network. Through the multi-frequency sine chaos neural network, a key library with a great space is generated, and multiple encryption processing is performed on original data, so compared with a traditional encryption mode, the complexity of a chaos model is further enhanced; while the information sending cost is reduced, the information transmission security is greatly enhanced, and an eavesdropper can be effectively prevented from brute force cracking through big operation. According to the invention, in a one-time one-password encryption mode, the security and flexibility of communication transmission can be greatly enhanced.

Description

technical field [0001] The invention belongs to the communication field and relates to an optical access encryption method based on a multi-frequency sinusoidal chaotic neural network. Background technique [0002] Nowadays, optical fiber communication systems of various speeds have basically replaced the original cable communication and become the main means of information transmission in the telecommunication network. At the same time, the security of information transmission has been paid more and more attention. , as large as the country's data information, there is a possibility of being stolen if you are not careful. Information encryption is an effective means to ensure the security of information transmission, such as processing signals from the information source to achieve symmetric encryption, monitoring and encrypting channels from the information transmission path, and encrypting from the modulation method of the signal. At present, the more secure encryption m...

Claims

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Application Information

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IPC IPC(8): H04L9/00H04Q11/00G06N3/04
CPCG06N3/0418H04L9/001H04Q11/0067
Inventor 刘博忻向军任建新毛雅亚李明烨王瑞春沈磊吴泳锋孙婷婷赵立龙
Owner NANJING UNIV OF INFORMATION SCI & TECH
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