基于DPI和DFI的應(yīng)用層網(wǎng)絡(luò)流量監(jiān)控系統(tǒng)的研究與實現(xiàn)
[Abstract]:With the rapid development of network technology, the form of information exchange has also been upgraded from low-bandwidth file transfer, web news, e-mail and forums to large traffic services such as network pictures, voice calls and video conferencing. The network has stepped into the era of multimedia from the age of characters. At the same time, the types of services and applications carried by the Internet are increasing constantly, so the bandwidth required increases exponentially compared with the previous ones, which makes the network bandwidth resources tense. In addition, with the development of e-commerce, electronic payment, digital currency, network banking and other new services, network content security has become more and more serious. All kinds of enterprise applications based on network are growing rapidly, and the scale of enterprise network is increasing with the expansion of enterprise scale. Enterprises need to strictly restrict the internal and external networks. These problems are urgently needed to be solved in the information society. At present, one of the most important solutions to solve these problems is to monitor the network traffic. How to design an enterprise-class traffic monitoring system which can provide application-layer monitoring ability in high-speed network environment is the subject of this paper. After studying and analyzing the important knowledge points related to traffic monitoring, such as flow identification and flow control, this paper designs and implements an application layer traffic monitoring system which is suitable for enterprise use. The main work of this paper is as follows: (1) Research and analysis of the flow monitoring equipment in the market and the current research results in the field of flow monitoring technology, according to the current network environment, the positioning of the system design is established. (2) deeply study the commonly used identification technology and the popular control technology in flow control. On this basis, the design objectives, system architecture and specific implementation of each module of the application layer traffic monitoring system are designed and realized, and the network deployment scheme of the system is given. (3) at present, it is impossible to solve the problem of real-time detection in high-speed network environment by means of software detection alone. This paper accelerates the system by combining hardware state machine with software state machine and adopting sub-graph mechanism. Thus, the real-time requirement of the traffic identification module in the high-speed network environment is realized. The policy-based library is researched and implemented, and the application layer traffic can be controlled manually and automatically. (4) the simulation experiment and result analysis of the application layer network traffic monitoring system from throughput, accuracy, blocking and current limiting are carried out, and the future research work and direction are pointed out. In this paper, through the combination of hardware and software state machine, sub-graph processing, policy base and other ways to realize the high-speed network environment traffic monitoring system, the function and performance of the system has reached the system target, but this system also has a lot of shortcomings. Further research can be done on interface optimization, feature extraction, flow collection, pretreatment and flow control algorithms.
【學(xué)位授予單位】:江西理工大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2014
【分類號】:TP393.06
【參考文獻】
相關(guān)期刊論文 前10條
1 徐雅斌;李艷平;劉曦子;;一個基于云計算的P2P流量識別系統(tǒng)模型的研究[J];電信科學(xué);2012年10期
2 王海濤;宋麗華;;基于業(yè)務(wù)等級的自適應(yīng)帶寬分配機制及性能仿真[J];航空電子技術(shù);2010年03期
3 溫曙光;謝高崗;;libpcap-MT:一種多線程的通用數(shù)據(jù)包捕獲庫[J];計算機研究與發(fā)展;2011年05期
4 王杰;劉亞賓;孫珂珂;;一種快速高效的模式匹配算法的應(yīng)用研究[J];計算機工程與應(yīng)用;2008年32期
5 陳亮;龔儉;徐選;;應(yīng)用層協(xié)議識別算法綜述[J];計算機科學(xué);2007年07期
6 金順福;呂倩;王朋;李小良;;一種動態(tài)帶寬分配策略及其性能分析[J];計算機工程;2012年09期
7 姚遠(yuǎn);劉鵬;單征;田雙鵬;;面向存儲的正則表達式匹配算法綜述[J];計算機應(yīng)用;2009年12期
8 李致遠(yuǎn);王汝傳;;一種基于機器學(xué)習(xí)的P2P網(wǎng)絡(luò)流量識別方法[J];計算機研究與發(fā)展;2011年12期
9 于明;朱超;;利用半監(jiān)督近鄰傳播聚類算法實現(xiàn)P2P流量識別[J];哈爾濱工程大學(xué)學(xué)報;2013年05期
10 湯昊;李之棠;;基于DPI的P2P流量控制系統(tǒng)的設(shè)計與實現(xiàn)[J];信息安全與通信保密;2007年06期
相關(guān)博士學(xué)位論文 前1條
1 劉舸;基于網(wǎng)絡(luò)效應(yīng)的電信運營商IM市場競爭研究[D];北京郵電大學(xué);2009年
本文編號:2437803
本文鏈接:http://sikaile.net/guanlilunwen/ydhl/2437803.html