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Quantum noise stream encryption system and encoding and decoding method based on one-dimensional chaotic sequence

A codec method and chaotic sequence technology, applied in quantum noise flow encryption system and codec field, can solve the problems of high bit error rate and poor optical network security, reduce bit error rate, improve confidentiality ability, and information transmission rate high effect

Pending Publication Date: 2021-08-06
SUZHOU UNIV
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Problems solved by technology

[0004] For this reason, the technical problem to be solved by the present invention is to overcome the technical defects of poor optical network security and high bit error rate in the prior art

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  • Quantum noise stream encryption system and encoding and decoding method based on one-dimensional chaotic sequence
  • Quantum noise stream encryption system and encoding and decoding method based on one-dimensional chaotic sequence
  • Quantum noise stream encryption system and encoding and decoding method based on one-dimensional chaotic sequence

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Embodiment Construction

[0049] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments, so that those skilled in the art can better understand the present invention and implement it, but the examples given are not intended to limit the present invention.

[0050] refer to Figure 1-Figure 6 As shown, the present invention discloses a method for encoding and decoding a quantum noise stream encryption system based on a one-dimensional chaotic sequence, comprising the following steps:

[0051] Step 1. Obtain the binary chaotic sequence, specifically including:

[0052] Determine initial chaotic parameters: n, μ, and x 0 ;

[0053] Substitute the initial chaotic parameters into the chaotic equation Generate an infinitely long chaotic sequence;

[0054] The chaotic sequence is transformed into a binary chaotic sequence using a clipper.

[0055] Step 2: Carry out one-by-one XOR operations on the binary chaotic sequence and the I / Q c...

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Abstract

The invention relates to a quantum noise stream encryption system based on a one-dimensional chaotic sequence and a coding and decoding method. The method comprises the following steps: obtaining a binary chaotic sequence; respectively carrying out one-by-one exclusive-or operation on the binary chaotic sequence and the I / Q component of the binary plaintext information, and mapping to obtain a low-order QAM ciphertext; increasing the digits of the low-order QAM ciphertext by using a QNSC technology, and mapping to obtain a high-order QAM ciphertext; performing offline digital signal processing on the high-order QAM ciphertext, and transmitting the high-order QAM ciphertext to a receiving end through a first optical fiber channel. The coding and decoding method is improved, the effect of a state base during decoding is expanded, the bit error rate is reduced, and the safety is high.

Description

technical field [0001] The invention relates to the technical field of optical network communication, in particular to a one-dimensional chaotic sequence-based quantum noise flow encryption system and encoding and decoding method. Background technique [0002] In the past few decades, in order to meet the increasing requirements of high access speed and low development cost, passive optical network (Passive optical network, PON) has been developed rapidly. Orthogonal frequency division multiplexing (OFDM), as a modulation technique with high spectral efficiency and strong flexibility, has been widely concerned in the application of PON systems. Therefore, the security problem of OFDM-PON system has become an important direction of future optical network research. [0003] The method that has been studied more before is to enhance the cryptographic protocol to improve the security of the higher layer, which is only an encryption of the data frame. The physical layer is like...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L9/00
CPCH04L9/001
Inventor 高明义朱华清沙炎平沈纲祥
Owner SUZHOU UNIV
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