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基于神經(jīng)網(wǎng)絡(luò)與復合離散混沌系統(tǒng)的雙重加密方法

肖成龍,  孫穎,  林邦姜,  湯璇,  王珊珊,  張敏,  謝宇芳,  戴玲鳳,  駱佳彬

肖成龍, 孫穎, 林邦姜, 湯璇, 王珊珊, 張敏, 謝宇芳, 戴玲鳳, 駱佳彬. 基于神經(jīng)網(wǎng)絡(luò)與復合離散混沌系統(tǒng)的雙重加密方法[J]. 電子與信息學報, 2020, 42(3): 687-694. doi: 10.11999/JEIT190213
引用本文: 肖成龍, 孫穎, 林邦姜, 湯璇, 王珊珊, 張敏, 謝宇芳, 戴玲鳳, 駱佳彬. 基于神經(jīng)網(wǎng)絡(luò)與復合離散混沌系統(tǒng)的雙重加密方法[J]. 電子與信息學報, 2020, 42(3): 687-694. doi: 10.11999/JEIT190213
Chenglong XIAO, Ying SUN, Bangjiang LIN, Xuan TANG, Shanshan WANG, Min ZHANG, Yufang XIE, Lingfeng DAI, Jiabin LUO. Double Encryption Method Based on Neural Network and Composite Discrete Chaotic System[J]. Journal of Electronics & Information Technology, 2020, 42(3): 687-694. doi: 10.11999/JEIT190213
Citation: Chenglong XIAO, Ying SUN, Bangjiang LIN, Xuan TANG, Shanshan WANG, Min ZHANG, Yufang XIE, Lingfeng DAI, Jiabin LUO. Double Encryption Method Based on Neural Network and Composite Discrete Chaotic System[J]. Journal of Electronics & Information Technology, 2020, 42(3): 687-694. doi: 10.11999/JEIT190213

基于神經(jīng)網(wǎng)絡(luò)與復合離散混沌系統(tǒng)的雙重加密方法

doi: 10.11999/JEIT190213
  • 1.

    遼寧工程技術(shù)大學軟件工程學院 葫蘆島 125105

  • 2.

    中國科學院海西研究院泉州裝備制造研究中心 泉州 362200

基金項目: 國家自然科學基金(61404069)，遼寧省教育廳一般科研項目(LJYL048)，遼寧省教育廳青年基金(LJ2017QL033)
詳細信息
    作者簡介:

    肖成龍：男，1984年生，副教授，研究方向為信號處理與軟硬件協(xié)同設(shè)計

    孫穎：女，1994年生，碩士生，研究方向為保密通信與混沌密碼學

    林邦姜：男，1987年生，副研究員，研究方向為無線光通信

    湯璇：女，1984年生，研究員，研究方向為無線光通信

    王珊珊：女，1984年生，副教授，研究方向為軟硬件協(xié)同設(shè)計與并行計算

    張敏：女，1992年生，助理工程師，研究方向為無線光通信

    謝宇芳：女，1992年生，助理工程師，研究方向為無線光通信

    戴玲鳳：女，1980年生，工程師，研究方向為無線光通信

    駱佳彬：男，1991年生，助理工程師，研究方向為無線光通信

    通訊作者:

    湯璇　xtang@fjirsm.ac.cn

  • 中圖分類號: TN918.91

Double Encryption Method Based on Neural Network and Composite Discrete Chaotic System

  • 1.

    School of Software, Liaoning Technical University, Huludao 125105, China

  • 2.

    Quanzhou Institute of Equipment Manufacturing, Haixi Institutes, Chinese Academy of Sciences, Quanzhou 362200, China

Funds: The National Natural Science Foundation of China(61404069), The Liaoning Provincial Department of Education General Research Project(LJYL048), The Liaoning Provincial Department of Education Youth Fund Project(LJ2017QL033)
  • 摘要:

    正交頻分復用(OFDM)已被廣泛應(yīng)用于無線通信系統(tǒng)，其數(shù)據(jù)傳輸安全具有一定的實際意義。該文提出了一種雙重加密方案，采用神經(jīng)網(wǎng)絡(luò)生成置亂矩陣實現(xiàn)第1次加密，通過基于Logistic映射與Sine映射的復合離散混沌系統(tǒng)產(chǎn)生的混沌序列進行第2次加密。該雙重加密方案極大提升了OFDM通信系統(tǒng)的保密性，可以有效地防止暴力攻擊。相比于單一的1維Logistic映射的混沌系統(tǒng)，基于Logistic映射與Sine映射的復合離散混沌系統(tǒng)具有更大的密鑰空間。該文運用Lyapunov指數(shù)與NIST測試驗證了該混沌系統(tǒng)的混沌特性及隨機性，并仿真驗證了雙重加密方案的保密性能。仿真結(jié)果表明，該文所提出的加密方案密鑰空間為4×1093，Lyapunov指數(shù)提高到0.9850，NIST測試中最大P值為0.9995。該雙重加密方案可在不影響傳輸性能下極大提升OFDM通信系統(tǒng)的安全性。

    Abstract:

    Orthogonal Frequency Division Multiplexing(OFDM) is widely used in wireless communication systems, and its data transmission security has certain practical significance. A double encryption scheme is proposed which enhances the confidentiality of the OFDM communication system and can prevent brute force attacks significantly. Specifically, the first encryption is achieved by using neural network to generate the scrambling matrix, and the second encryption is implemented by chaotic sequence generating by composite discrete chaotic system based on Logistic mapping and Sine mapping. Moreover, it has larger secret key space compared with the single one-dimensional Logistic mapping chaotic system. The performance of double encryption is measured by verifying its chaotic characteristics and randomness (Lyapunov exponent and NIST) as well as its security performance in simulation. The results show that Lyapunov index is increased to 0.9850, and the maximum P-value in the NIST test is 0.9995 by using the proposed double encryption in this paper. It indicates such double encryption significantly improve the confidentiality of the OFDM communication system without affecting the transmission performance.

    • HTML全文

  • 圖  1  Logistic映射與Sine映射

    圖  2  復合離散混沌系統(tǒng)

    圖  3  神經(jīng)網(wǎng)絡(luò)架構(gòu)

    圖  4  OFDM系統(tǒng)加密方案

    圖  5  接收端未還原散點圖

    圖  6  傳統(tǒng)OFDM系統(tǒng)、星座旋轉(zhuǎn)與雙重位置置亂的誤碼率性能對比

    表  1  混沌系統(tǒng)Lyapunov指數(shù)

    混沌系統(tǒng)Logistic映射Sine映射復合離散混沌系統(tǒng)
    Lyapunov指數(shù)0.61180.53810.9850
    下載: 導出CSV

    表  2  NIST測試結(jié)果

    序號測試項目P 值測試結(jié)果
    1Frequency0.7188Success
    2Block Frequency0.3721Success
    3Cumulative Sums0.5153Success
    4Runs0.9995Success
    5Longest Run of Ones0.6147Success
    6Rank0.8624Success
    7Discrete Fourier Transform0.9268Success
    8Nonperiodic Template Matchings0.9889Success
    9Overlapping Template Matchings0.7125Success
    10Universal Statistical0.6124Success
    11Approximate Entropy0.1522Success
    12Random Excursions0.4998Success
    13Random Excurisions Variant0.3114Success
    14Serial0.2962Success
    15Linear Complexity0.9855Success
    下載: 導出CSV

    表  3  OFDM系統(tǒng)參數(shù)

    特性參數(shù)特性參數(shù)
    調(diào)制方式4QAMFFT點數(shù)128
    數(shù)據(jù)子載波128內(nèi)插導頻4
    循環(huán)前綴4OFDM符號數(shù)100
    信道類型AWGN––
    下載: 導出CSV
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  • 收稿日期:  2019-04-03
  • 修回日期:  2019-09-18
  • 網(wǎng)絡(luò)出版日期:  2019-10-15
  • 刊出日期:  2020-03-19

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