發(fā)布時(shí)間：2018-05-07 08:49

  本文選題：對(duì)等網(wǎng)絡(luò) + 深度數(shù)據(jù)包檢測�。� 參考：《南京郵電大學(xué)》2014年碩士論文

【摘要】：對(duì)等網(wǎng)絡(luò)突破了傳統(tǒng)C/S或B/S等不對(duì)稱計(jì)算模式，每個(gè)結(jié)點(diǎn)地位對(duì)等，，可同時(shí)成為服務(wù)的使用者和提供者，從而為大規(guī)模的信息共享、直接通信和協(xié)同工作提供了靈活的可擴(kuò)展計(jì)算平臺(tái)。但隨著P2P用戶量的增多，主干網(wǎng)絡(luò)中P2P流量的比例也逐漸變大，嚴(yán)重影響其他網(wǎng)絡(luò)業(yè)務(wù)的運(yùn)行，這使得P2P應(yīng)用技術(shù)的無限需求與有限主干網(wǎng)絡(luò)帶寬之間產(chǎn)生了矛盾。為解決這一矛盾，較有效的方法是對(duì)P2P的流量進(jìn)行合理的疏導(dǎo)，在主干網(wǎng)邊緣架設(shè)P2P緩存系統(tǒng)，以將P2P流量盡量控制在內(nèi)網(wǎng)之中，從而緩解主干網(wǎng)的壓力。 本文從P2P流量管控的角度進(jìn)行研究，首先介紹了P2P技術(shù)以及網(wǎng)絡(luò)拓?fù)浣Y(jié)構(gòu)，并對(duì)幾種常用的流量識(shí)別方法以及典型的P2P協(xié)議的通信過程和關(guān)鍵數(shù)據(jù)包的格式進(jìn)行分析，提出了基于自主學(xué)習(xí)的P2P流量識(shí)別方法，此方法充分利用了DPI、DFI以及神經(jīng)網(wǎng)絡(luò)算法的各自特點(diǎn)，提高了P2P流量的識(shí)別準(zhǔn)確率。然后，在上述識(shí)別方法的基礎(chǔ)上，通過結(jié)合NetFilter架構(gòu)、Socket Buffer、NetLink等技術(shù)，設(shè)計(jì)了P2P流量管控系統(tǒng)，并對(duì)系統(tǒng)的五大模塊：流量識(shí)別模塊、數(shù)據(jù)交互模塊、報(bào)文緩存模塊、數(shù)據(jù)包偽造模塊、流量統(tǒng)計(jì)模塊分別進(jìn)行了詳細(xì)的設(shè)計(jì)和實(shí)現(xiàn)。最后，論文對(duì)所實(shí)現(xiàn)的P2P管控系統(tǒng)進(jìn)行了說明，介紹了相關(guān)的軟硬件平臺(tái)以及安裝編譯過程，整個(gè)P2P流量管控系統(tǒng)達(dá)到了管理和控制P2P流量的效果。
[Abstract]:Peer-to-peer networks break through the traditional asymmetrical computing models such as C / S or B / S, each node is equal in status, it can become the consumer and provider of service at the same time, thus sharing information on a large scale. Direct communication and collaborative work provide a flexible scalable computing platform. However, with the increase of the number of P2P users, the proportion of P2P traffic in the backbone network is gradually increasing, which seriously affects the operation of other network services, which makes the unlimited demand of P2P application technology and the limited backbone network bandwidth conflict. In order to solve this contradiction, the more effective method is to reasonably channel the P2P traffic and set up a P2P cache system on the edge of the backbone network, so as to control the P2P traffic in the inner network as far as possible so as to relieve the pressure on the backbone network. From the point of view of P2P traffic management and control, this paper first introduces P2P technology and network topology, and analyzes several commonly used traffic identification methods as well as the communication process of typical P2P protocols and the format of key data packets. A P2P traffic identification method based on autonomous learning is proposed, which makes full use of the characteristics of DPI DFI and neural network algorithms, and improves the accuracy of P2P traffic recognition. Then, on the basis of the above identification methods, a P2P traffic control system is designed by combining with the technology of socket buffer NetLink and NetFilter architecture. The five modules of the system are: traffic identification module, data exchange module, message buffer module, etc. Packet forgery module and traffic statistics module are designed and implemented in detail. Finally, the paper describes the P2P management and control system, introduces the related software and hardware platforms and the installation and compilation process, the whole P2P traffic control system has achieved the effect of managing and controlling P2P traffic.
【學(xué)位授予單位】：南京郵電大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：TP393.02

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本文編號(hào)：1856265