【摘要】：隨著互聯(lián)網(wǎng)的不斷發(fā)展,網(wǎng)絡(luò)已經(jīng)成為人們生活中必不可少的部分。如何保證網(wǎng)絡(luò)安全、穩(wěn)定、高效的運(yùn)行成為了當(dāng)前網(wǎng)絡(luò)中迫切需要解決的問題。網(wǎng)絡(luò)流量作為網(wǎng)絡(luò)中數(shù)據(jù)流動(dòng)的載體,對(duì)于其時(shí)空特性的研究能夠幫助了解復(fù)雜的網(wǎng)絡(luò)結(jié)構(gòu)以及網(wǎng)絡(luò)的動(dòng)態(tài)特性,對(duì)于網(wǎng)絡(luò)的設(shè)計(jì)、監(jiān)控等各個(gè)方面都有著重要的意義。在理清了國(guó)內(nèi)外多尺度熵理論研究與網(wǎng)絡(luò)流量特性分析相關(guān)工作的基礎(chǔ)上,本文基于多尺度熵理論提出了彈性多尺度熵理論,并創(chuàng)新性地將彈性多尺度熵理論用于網(wǎng)絡(luò)流量時(shí)空特性的研究。本文主要研究工作與貢獻(xiàn)如下:(1)本文對(duì)熵理論以及網(wǎng)絡(luò)流量特性研究方法進(jìn)行了系統(tǒng)的闡述,其中熵理論方面對(duì)樣本熵、多尺度熵、復(fù)合多尺度熵理論進(jìn)行了全面的理論闡述與詳細(xì)的流程分析。在網(wǎng)絡(luò)流量特性研究方面對(duì)網(wǎng)絡(luò)流量的獲取途徑,網(wǎng)絡(luò)流量的測(cè)量,網(wǎng)絡(luò)流量的特性分析等方面都從理論及應(yīng)用方面進(jìn)行了詳細(xì)的闡述。(2)提出了彈性多尺度熵(Flexible Multiscale Entropy,FMSE)理論,該理論提高了時(shí)間序列復(fù)雜度量化分析的準(zhǔn)確性和穩(wěn)定性。首先,對(duì)現(xiàn)有的樣本熵進(jìn)行了改進(jìn),引入了彈性累計(jì)的方法。在此基礎(chǔ)上,結(jié)合當(dāng)前復(fù)合多尺度熵理論的復(fù)合計(jì)算方法,提出了彈性多尺度熵。最后,基于人工合成的白噪聲和1/f噪聲序列以及實(shí)際振動(dòng)數(shù)據(jù)序列對(duì)彈性多尺度熵理論進(jìn)行了驗(yàn)證。實(shí)驗(yàn)結(jié)果表明彈性多尺度熵比多尺度熵和復(fù)合多尺度熵更加準(zhǔn)確和穩(wěn)定,特別是在時(shí)間序列較短、尺度因子較大的情況下,彈性多尺度熵在準(zhǔn)確性和穩(wěn)定性上有很大的提升。(3)提出了基于彈性多尺度熵的網(wǎng)絡(luò)流量時(shí)空特性分析方法。首先,對(duì)獲取的公開網(wǎng)絡(luò)流量進(jìn)行多維、分層處理,分別獲取不同層次,不同時(shí)空維度的網(wǎng)絡(luò)流量子序列。然后,以本文提出的彈性多尺度熵作為理論工具對(duì)網(wǎng)絡(luò)流量子序列進(jìn)熵值計(jì)算。通過對(duì)不同規(guī)模的網(wǎng)絡(luò)進(jìn)行分層網(wǎng)絡(luò)流量的復(fù)雜性研究,研究發(fā)現(xiàn)在整個(gè)時(shí)間尺度上包序列的復(fù)雜度高于流序列的復(fù)雜度。字節(jié)序列的復(fù)雜度整體上高于流序列的復(fù)雜度,當(dāng)網(wǎng)絡(luò)中有大量小流存在的時(shí)候流序列的復(fù)雜度會(huì)高于字節(jié)序列的復(fù)雜度。小流對(duì)網(wǎng)絡(luò)層次復(fù)雜度有著重要的影響。(4)對(duì)本文提出的彈性多尺度熵理論以及基于該理論的網(wǎng)絡(luò)流量時(shí)空特性研究方面的主要工作和貢獻(xiàn)進(jìn)行了總結(jié),并指出彈性多尺度熵以及網(wǎng)絡(luò)流量研究方面的不足之處,提出了未來(lái)的工作方向。
[Abstract]:With the continuous development of the Internet, the network has become an essential part of people's lives. How to ensure network security, stability and efficient operation has become an urgent problem in the current network. Network traffic as the carrier of data flow in the network, the study of its space-time characteristics can help to understand the complex network structure and the dynamic characteristics of the network, for the network design, monitoring and other aspects of important significance. In this paper, the elastic multi-scale entropy theory is proposed based on the theory of multi-scale entropy and the analysis of network traffic characteristics based on the theoretical research of multi-scale entropy at home and abroad. The elastic multi-scale entropy theory is innovatively applied to the study of spatial and temporal characteristics of network traffic. The main works and contributions of this paper are as follows: (1) the entropy theory and the research methods of network traffic characteristics are systematically described in this paper, in which the sample entropy, multi-scale entropy, and multi-scale entropy are discussed in entropy theory. The complex multi-scale entropy theory is described in detail. In the aspect of the research of network traffic characteristics, the way of obtaining network traffic, the measurement of network traffic and the characteristic analysis of network traffic are expounded in detail from the aspects of theory and application. (2) the elastic multi-scale entropy (Flexible Multiscale Entropy, is proposed. FMSE) theory, which improves the accuracy and stability of time series complexity quantization analysis. Firstly, the existing sample entropy is improved and the elastic cumulation method is introduced. On this basis, the elastic multi-scale entropy is proposed by combining the compound calculation method of the current compound multi-scale entropy theory. Finally, the theory of elastic multi-scale entropy is verified based on synthetic white noise, 1 / f noise sequence and actual vibration data series. The experimental results show that elastic multi-scale entropy is more accurate and stable than multi-scale entropy and composite multi-scale entropy, especially in the case of shorter time series and larger scale factor. Elastic multi-scale entropy greatly improves its accuracy and stability. (3) an analysis method of time-space characteristics of network traffic based on elastic multi-scale entropy is proposed. Firstly, multi-dimensional and hierarchical processing of the obtained open network traffic is carried out, and the sub-sequences of network traffic of different levels and different space-time dimensions are obtained respectively. Then, the elastic multi-scale entropy proposed in this paper is used as a theoretical tool to calculate the progressive entropy of network traffic subseries. It is found that the complexity of packet sequence is higher than that of flow sequence in the whole time scale by studying the complexity of hierarchical network traffic in different size networks. The complexity of byte sequence is higher than that of stream sequence on the whole, and the complexity of stream sequence is higher than that of byte sequence when there are a large number of streams in the network. Small-stream has an important influence on the hierarchical complexity of the network. (4) the main work and contribution of the elastic multi-scale entropy theory and the research of space-time characteristics of network traffic based on the theory are summarized. The inadequacies of elastic multi-scale entropy and network traffic research are pointed out, and the future work direction is proposed.
【學(xué)位授予單位】：杭州電子科技大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2016
【分類號(hào)】：TP393.06

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