Design method for chaos digital secret communication system based on FPGA

Abstract

The invention relates to design method for FPGA based chaos digital secure communication system comprising following steps: executing discrete process for continuous chaos system by FPGA hardware, designing chaos discrete system by FPGA hardware and make it produce digital chaos sequence in a certain accuracy, adopting the digital chaos sequence as key, designing drive response type synchronous secure communication system based on choas discrete system, constructing a closed loop with interior signal, accomplishing two block FPGA development board finite digital voice communication using lattice type Cai chaos and real time voice secure communication system design based on lattice type Cai chaos. The invention is highly secure and accomplishes combination of chaos encryption system and traditional cipher system. The inventive secure communication system not only serve voice secure communication, but transmit confidential binary file. As long as data can be represented as binary data, it can execute secure communication. The inventive system can employ graph encryption / decryption and transmit over Ethernet.

Description

Technical field [0001] The invention is a design method of a chaotic digital secure communication system based on FPGA (Field Programmable Gate Array), which belongs to the transformation technology of the design method of a chaotic digital secure communication system. Background technique [0002] In the past ten years or so, there have been extensive and in-depth studies on the synchronization of chaotic systems in the world. In 1990, the results of the research of US Naval Laboratory researchers Pecora and Carroll et al. showed that under the drive of a chaotic signal, two chaotic systems may reach a self-synchronization state. On this basis, more and more researches have been conducted on the methods of using the self-synchronization characteristics of chaos to realize secure communication, including chaotic concealment, chaotic keying, chaotic parameter modulation, chaotic spread spectrum, chaotic code division multiple access, and digital Chaos communication technology and ...

AI Technical Summary

Problems solved by technology

Nevertheless, there are still some problems in chaotic secure communication: (1) For continuous chaotic systems, due to the limited production accuracy of circuit components, the parameters cannot be completely consistent, which will inevitably lead to differences in chaotic systems between the sending and receiving parties, thus affecting the performance of communication

(2) Using the chaotic secure communication technology that adds a small amplitude original signal to the chaotic signal, in order to achieve effective self-synchronization, the power of the original signal is often required to be weak relative to the power of the chaotic signal. In this way, the signal-to-noise ratio after chaotic decryption is greatly improved. At the same time, this scheme can in principle be decrypted through a linear filter, so it is not secure enough

(3) The self-synchronization characteristics of the chaotic system allow the parameters of the transceiver system to be different, so that the signal can be basically recovered when the system parameters are roughly known, which will inevitably reduce the confidentiality of communication

[0003] There are still some problems in the existing chaotic secure communication: (1) For the continuous chaotic system, due to the limited production accuracy of circuit components, the parameters cannot be completely consistent, which will inevitably lead to the difference between the chaotic system of the sending and receiving parties, thus affecting the performance of communication

(2) Using the chaotic secure communication technology that adds a small amplitude original signal to the chaotic signal, in order to achieve effective self-synchronization, the power of the original signal is often required to be weak relative to the power of the chaotic signal. In this way, the signal-to-noise ratio after chaotic decryption is greatly improved. At the same time, this scheme can in principle be decrypted through a linear filter, so it is not secure enough

(3) The self-synchronization characteristics of the chaotic system allow the parameters of the transceiver system to be different, so that the signal can be basically recovered when the system parameters are roughly known, which will inevitably reduce the confidentiality of communication

In addition, in many literatures on chaotic communication at home and abroad, the research scope is mostly limited to computer simulation and circuit simulation, and there is a lack of detailed reports on hardware experiments, especially hardware experiments on chaotic digital communication.

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