本文選題：P2P + 流媒體�。� 參考：《江西理工大學(xué)》2014年碩士論文

【摘要】：作為近幾年來互聯(lián)網(wǎng)最熱門的技術(shù)，P2P（Peer to Peer）流媒體得到了全面的發(fā)展，與文件共享系統(tǒng)相比，，流媒體系統(tǒng)的邊下載邊播放特點(diǎn)使其日益流行。但是在流媒體普遍應(yīng)用的同時(shí)也出現(xiàn)了許多負(fù)面的影響如耗費(fèi)網(wǎng)絡(luò)帶寬、不良信息傳播、知識(shí)產(chǎn)權(quán)、信息安全等方面的問題。因此，對流媒體應(yīng)用軟件及網(wǎng)站流量進(jìn)行識(shí)別與進(jìn)一步管理變得尤為重要。為了能夠有效的識(shí)別和控制網(wǎng)絡(luò)中流媒體應(yīng)用流量，防止網(wǎng)絡(luò)用戶過度使用流媒體應(yīng)用造成網(wǎng)絡(luò)資源匱乏等一系列問題，本文提出一種基于DPI的流媒體流量監(jiān)控系統(tǒng)，系統(tǒng)可有效實(shí)現(xiàn)對局域網(wǎng)中流媒體應(yīng)用的實(shí)時(shí)識(shí)別與控制，有效的解決上述問題，協(xié)助網(wǎng)絡(luò)管理員更加安全高效的管理網(wǎng)絡(luò)。 針對以往流量監(jiān)控系統(tǒng)流量識(shí)別無法具體到應(yīng)用、采用的匹配算法效率較低、流量的限流與阻斷效果不夠明顯等缺陷，本文在對幾種基本單模式和多模式匹配算法研究的基礎(chǔ)上，創(chuàng)新性的提出一種AC-BM模式匹配算法，使其既有多模式串匹配的特點(diǎn)又可應(yīng)用BM算法中跳躍移動(dòng)的思想，并將其應(yīng)用于流量監(jiān)控系統(tǒng)的識(shí)別模塊，結(jié)合DPI技術(shù)對相關(guān)流量進(jìn)行深度解析，極大提高了系統(tǒng)對流媒體流量識(shí)別的效率；與此同時(shí)，本文在流量控制模塊采用一種新型的直路串接與旁路干擾相結(jié)合的控制方式，對比以往系統(tǒng)僅采用單一控制方法，此種控制方式的優(yōu)勢在于模塊中部署的直路控制設(shè)備，可對一些較容易識(shí)別的流媒體應(yīng)用和一些較難構(gòu)造干擾報(bào)文包的協(xié)議類型直接進(jìn)行處理，使得旁路干擾部分只需對那些較為復(fù)雜且能夠構(gòu)造干擾報(bào)文包的流媒體流量進(jìn)行處理，這樣使得流量控制模塊的控制效率極大提升。設(shè)計(jì)完系統(tǒng)各個(gè)模塊后，文中最后對流量監(jiān)控系統(tǒng)的整體功能與性能進(jìn)行了全面的測試，通過驗(yàn)證，本文系統(tǒng)可對近百種流媒體應(yīng)用精確識(shí)別，具有較低的漏識(shí)別、誤識(shí)別率，下發(fā)相關(guān)控制策略后，系統(tǒng)可有效對流媒體應(yīng)用流進(jìn)行阻斷、限流操作，測試結(jié)果表明整個(gè)流控系統(tǒng)的識(shí)別準(zhǔn)確性、控制效果均能滿足設(shè)計(jì)的要求。 目前，本文系統(tǒng)僅能對較為常用的近百種種流媒體應(yīng)用進(jìn)行識(shí)別與控制，隨著網(wǎng)絡(luò)規(guī)模的不斷增大，流媒體技術(shù)的不斷發(fā)展，流媒體應(yīng)用必然會(huì)層出不窮，但隨著對流媒體流量的不斷研究與分析，系統(tǒng)的功能不斷完善，流量監(jiān)控系統(tǒng)必然能實(shí)現(xiàn)對所有流媒體流量進(jìn)行識(shí)別與控制，從而更加廣泛的應(yīng)用于網(wǎng)絡(luò)管理領(lǐng)域。
[Abstract]:As the most popular Internet technology in recent years, P2PU Peer to Peer streaming media has been fully developed. Compared with file-sharing system, streaming media system is becoming more and more popular because of the characteristics of streaming media system while downloading and playing. However, there are many negative effects such as consuming network bandwidth, bad information dissemination, intellectual property, information security and so on. Therefore, it is very important to identify and further manage streaming media application software and website traffic. In order to effectively identify and control the streaming media application traffic in the network and prevent network users from overusing streaming media applications, this paper proposes a streaming media flow monitoring system based on DPI. The system can effectively realize the real-time identification and control of streaming media applications in LAN, solve the above problems effectively, and help network administrators to manage the network more safely and efficiently. In the past, the flow identification of the flow monitoring system can not be applied, the efficiency of the matching algorithm is low, the current limit and blocking effect of the flow is not obvious enough, and so on. In this paper, based on the research of several basic single pattern and multi-pattern matching algorithms, an innovative AC-BM pattern matching algorithm is proposed, which not only has the characteristics of multi-pattern string matching, but also applies the idea of jumping movement in BM algorithm. And it is applied to the identification module of the flow monitoring system, combined with the DPI technology to analyze the depth of the related traffic, which greatly improves the efficiency of the system to identify the streaming media traffic, at the same time, In this paper, the flow control module adopts a new type of control mode, which combines straight circuit serial connection with bypass interference, and only uses a single control method compared with the previous system. The advantage of this control mode lies in the direct control equipment deployed in the module. Some streaming media applications which are easy to identify and some protocol types which are difficult to construct interference packets can be processed directly, which makes the bypass interference only need to deal with the streaming media traffic which is more complex and can construct interference packets. In this way, the control efficiency of the flow control module is greatly improved. After the design of each module of the system, the overall function and performance of the flow monitoring system are tested in the end. Through the verification, the system can accurately identify nearly 100 kinds of streaming media applications, and has low leakage recognition and error recognition rate. After sending off the related control strategy, the system can effectively block the streaming media application flow, limit the current operation, the test results show that the whole flow control system identification accuracy, the control effect can meet the design requirements. At present, this system can only identify and control nearly 100 kinds of streaming media applications. With the increasing of network scale and the continuous development of streaming media technology, streaming media applications are bound to emerge in endlessly. However, with the continuous research and analysis of streaming media traffic, the function of the system is constantly improved, and the flow monitoring system can identify and control all streaming media traffic, which is more widely used in the field of network management.
【學(xué)位授予單位】：江西理工大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：TP393.06

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