本文選題：流量識別　切入點(diǎn)：內(nèi)容提取　出處：《電子科技大學(xué)》2014年碩士論文　論文類型：學(xué)位論文

【摘要】：多媒體業(yè)務(wù)和P2P業(yè)務(wù)等的蓬勃發(fā)展,使得在網(wǎng)絡(luò)上傳輸?shù)臉I(yè)務(wù)數(shù)據(jù)越來越多元化,不同的業(yè)務(wù)由于服務(wù)的類型和對象不同,所以對網(wǎng)絡(luò)的要求也有明顯差異,比如對傳輸時(shí)延的要求,對丟包率的要求以及各種各樣的QoS需求,為了更好地控制網(wǎng)絡(luò)流量,提高網(wǎng)絡(luò)利用率,以及更好地為不同的業(yè)務(wù)按需服務(wù),首先要解決的問題就是網(wǎng)絡(luò)流量識別。網(wǎng)絡(luò)流量識別技術(shù)是進(jìn)行網(wǎng)絡(luò)報(bào)文分類的基礎(chǔ),本文的主要研究工作就是實(shí)現(xiàn)對網(wǎng)絡(luò)流量的識別和對網(wǎng)絡(luò)關(guān)鍵內(nèi)容的提取。本文首先通過閱讀網(wǎng)絡(luò)流量識別和關(guān)鍵內(nèi)容提取相關(guān)領(lǐng)域的國內(nèi)外文獻(xiàn),根據(jù)自身課題的具體要求,對網(wǎng)絡(luò)流量識別和關(guān)鍵內(nèi)容提取中的關(guān)鍵技術(shù)和算法進(jìn)行了較為深入的研究,研究的重點(diǎn)主要有TCP/IP體系結(jié)構(gòu),報(bào)文分類算法和模式匹配算法,同時(shí),在研究相關(guān)理論的基礎(chǔ)上實(shí)現(xiàn)了一個(gè)用于網(wǎng)絡(luò)流量識別和關(guān)鍵內(nèi)容提取的Demo系統(tǒng)。由于實(shí)驗(yàn)條件的限制,雖然本文中實(shí)現(xiàn)的Demo系統(tǒng)可以完成對網(wǎng)絡(luò)流量的識別和關(guān)鍵內(nèi)容的提取,并且有直觀的展示。但是,很難客觀地評價(jià)其性能指標(biāo),所以,在本文中,還基于OPNET平臺,對所實(shí)現(xiàn)的網(wǎng)絡(luò)流量識別和關(guān)鍵內(nèi)容提取算法進(jìn)行了仿真和測試。總體來說,本文具有如下一些特點(diǎn):1.較為全面的分析和研究了報(bào)文分類算法和模式匹配算法,這兩類算法是網(wǎng)絡(luò)流量識別和關(guān)鍵內(nèi)容提取的技術(shù)基礎(chǔ)。2.在研究相關(guān)算法的基礎(chǔ)上,使用C++語言編程實(shí)現(xiàn)了一個(gè)網(wǎng)絡(luò)流量識別和關(guān)鍵內(nèi)容提取系統(tǒng)。3.在實(shí)現(xiàn)相關(guān)系統(tǒng)的基礎(chǔ)上,又基于OPNET網(wǎng)絡(luò)仿真平臺對系統(tǒng)所采用的算法的性能做了測試和分析。4.本文所實(shí)現(xiàn)的網(wǎng)絡(luò)流量識別與關(guān)鍵內(nèi)容提取技術(shù)不僅可用于實(shí)際的網(wǎng)絡(luò)環(huán)境中,作為軟件系統(tǒng)使用,還可以單獨(dú)將算法抽取出來,進(jìn)行功能擴(kuò)充和性能分析。
[Abstract]:With the rapid development of multimedia services and P2P services, the service data transmitted over the network is becoming more and more diversified. Because of the different types and objects of services, the requirements of the network are also obviously different. For example, the requirements of transmission delay, packet loss rate and various QoS requirements, in order to better control network traffic, improve network utilization, and better serve on demand for different services. The first problem to be solved is network traffic identification, which is the basis of packet classification. The main research work of this paper is to realize the identification of network traffic and the extraction of network key content. The key technologies and algorithms of network traffic identification and key content extraction are deeply studied. The research focuses on TCP/IP architecture, packet classification algorithm and pattern matching algorithm. Based on the research of related theories, a Demo system for network traffic identification and key content extraction is implemented. Although the Demo system realized in this paper can realize the identification of network traffic and the extraction of key contents, and has a visual display. However, it is difficult to evaluate its performance index objectively, so in this paper, it is also based on OPNET platform. The network traffic recognition and key content extraction algorithms are simulated and tested. In general, this paper has some characteristics as follows: 1.The packet classification algorithm and the pattern matching algorithm are analyzed and studied comprehensively. These two algorithms are the technical foundation of network traffic identification and key content extraction. Based on the research of related algorithms, a network traffic identification and key content extraction system is implemented by C language programming. The performance of the algorithm used in the system is tested and analyzed based on the OPNET network simulation platform. 4. The network traffic identification and key content extraction technology realized in this paper can be used not only in the actual network environment, but also as a software system. The algorithm can also be extracted separately for function expansion and performance analysis.
【學(xué)位授予單位】：電子科技大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：TP393.06

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本文編號：1640531