發(fā)布時間：2018-03-21 13:04

  本文選題：自治布爾網(wǎng)絡(luò)　切入點：混沌　出處：《太原理工大學》2017年碩士論文　論文類型：學位論文

【摘要】：物理隨機數(shù)發(fā)生器在網(wǎng)絡(luò)信息安全和密碼學領(lǐng)域有著重要的作用,同時在雷達測距、身份認證和光纖傳感等領(lǐng)域也有著至關(guān)重要的作用。作為雷達探測信號,可以通過相關(guān)法計算出探測目標的位置;也可以用于身份認證領(lǐng)域,對身份信息進行加密,作為身份認證的動態(tài)口令來保證信息的保密性;在光纖傳感領(lǐng)域,可以提高傳感的距離和空間分辨率,提高探測精度。應(yīng)用于保密通信時,信息安全顯得尤其重要,香農(nóng)信息理論提出的“一次一密”機制表明,產(chǎn)生高速且隨機性好的物理隨機數(shù)對網(wǎng)絡(luò)信息安全有著極其重要的意義。隨機數(shù)可分為偽隨機數(shù)和物理隨機數(shù)兩個類別。偽隨機數(shù)一般通過特定的算法產(chǎn)生,通過輸入一個初始“種子序列”,經(jīng)過算法迭代計算得到隨機序列�，F(xiàn)有的計算機處理速率,可以產(chǎn)生高速的偽隨機序列,速率可達Gbit/s量級,然而偽隨機數(shù)存在周期性,可以被預測和還原,難以滿足對隨機性要求高的信息安全領(lǐng)域。物理隨機數(shù)的產(chǎn)生是通過自然界的物理隨機現(xiàn)象產(chǎn)生的,其無法被預測和還原,可以滿足隨機數(shù)的安全性,常見的物理隨機數(shù)熵源包括電路熱噪聲、振蕩采樣器和混沌電路等,相比其他隨機數(shù)產(chǎn)生的方案,混沌電路物理隨機數(shù)發(fā)生器可以實現(xiàn)芯片級、低功耗的設(shè)計需求。本文提出并實驗驗證了一種基于自治布爾網(wǎng)絡(luò)的高速隨機數(shù)發(fā)生器裝置,該裝置可產(chǎn)生輸出穩(wěn)定的隨機數(shù)序列,通過多路復用技術(shù)速率可達10Gbit/s,且隨機數(shù)測試結(jié)果表明其產(chǎn)生的隨機數(shù)序列具有良好的隨機統(tǒng)計特性。此外又結(jié)合UBS2.0架構(gòu)實現(xiàn)了隨機數(shù)的采集,保證所設(shè)計的隨機數(shù)發(fā)生器裝置滿足穩(wěn)定、高效和實用的優(yōu)點,同時,利用此方案研發(fā)了物理隨機數(shù)發(fā)生器樣機。本文圍繞基于自治布爾網(wǎng)絡(luò)的高速物理隨機數(shù)發(fā)生器方案,重點研究了如下方面的內(nèi)容:1、提出和分析了自治布爾網(wǎng)絡(luò)隨機數(shù)物理熵源結(jié)構(gòu),并對熵源進行了數(shù)值仿真,確定了熵源結(jié)構(gòu),并研究其動態(tài)特性,分析了其熵值和卡方隨節(jié)點的變化并計算了李雅普諾夫指數(shù),表明其混沌特性。2、研究了自治布爾網(wǎng)絡(luò)高速物理隨機數(shù)發(fā)生器的實現(xiàn)及數(shù)據(jù)采集,實現(xiàn)了隨機數(shù)熵源、熵源提取電路和實時后處理電路三個模塊的搭建;利用多路復用技術(shù),實現(xiàn)了10Gbit/s的高速物理隨機數(shù)發(fā)生器;通過USB2.0架構(gòu)實現(xiàn)了300Mbit/s的采集速率。3、通過幾種隨機數(shù)測試標準檢測,進一步分析研究了該物理隨機數(shù)發(fā)生器的隨機特性。
[Abstract]:Physical random number generators play an important role in the field of network information security and cryptography, as well as in the fields of radar ranging, identity authentication and optical fiber sensing. The location of the detection target can be calculated by the correlation method; it can also be used in the field of identity authentication to encrypt the identity information as the dynamic password of identity authentication to ensure the confidentiality of the information; in the field of optical fiber sensing, It can improve the range and spatial resolution of the sensor and improve the detection accuracy. When applied to secure communication, information security is particularly important. Shannon information theory puts forward the mechanism of "one time and one secret". The generation of high speed and good randomness of physical random numbers is of great significance to the security of network information. Random numbers can be divided into two categories: pseudorandom numbers and physical random numbers. Pseudorandom numbers are generally generated by specific algorithms. By inputting an initial "seed sequence", the random sequence can be calculated by iterative algorithm. The existing computer processing rate can produce high speed pseudorandom sequence, which can reach the Gbit/s order of magnitude, but the pseudorandom number has periodicity. Can be predicted and reduced, it is difficult to meet the requirements of randomness in the field of information security. Physical random numbers are generated through physical random phenomena in nature, which can not be predicted and reduced, can meet the security of random numbers. Common physical random number entropy sources include circuit thermal noise, oscillating sampler and chaotic circuit. Compared with other random number generation schemes, chaotic circuit physical random number generator can realize chip level. In this paper, a high speed random number generator based on autonomous Boolean network is proposed and experimentally verified, which can produce stable random number sequences. The rate of multiplexing can reach 10Gbit / s, and the random number sequence is proved to have good random statistics property by random number test. In addition, the acquisition of random number is realized with UBS2.0 architecture. To ensure that the designed random number generator is stable, efficient and practical, a prototype of the physical random number generator is developed using this scheme. This paper focuses on the high-speed physical random number generator scheme based on autonomous Boolean network. In this paper, we focus on the following aspects: 1, propose and analyze the physical entropy source structure of random number in autonomous Boolean network, and numerically simulate the entropy source, determine the structure of entropy source, and study its dynamic characteristics. The variation of entropy and chi-square with nodes is analyzed, and the Lyapunov exponent is calculated, which shows that the chaotic characteristic is .2.The realization and data acquisition of high-speed physical random number generator in autonomous Boolean network are studied, and the entropy source of random number is realized. Three modules of entropy source extraction circuit and real-time post-processing circuit are built; 10Gbit / s high speed physical random number generator is realized by using multiplexing technology, and the acquisition rate of 300Mbit / s is realized by USB2.0 architecture. Furthermore, the random characteristics of the physical random number generator are studied.
【學位授予單位】：太原理工大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：TP309

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