發(fā)布時(shí)間：2018-06-01 08:16

  本文選題：違規(guī)外聯(lián) + 數(shù)據(jù)包攔截�。� 參考：《北京交通大學(xué)》2014年碩士論文

【摘要】：近年來(lái),伴隨著計(jì)算機(jī)與網(wǎng)絡(luò)技術(shù)的飛速發(fā)展,因特網(wǎng)在我們的工作、學(xué)習(xí)和生活中扮演者越來(lái)越重要的角色。一個(gè)企業(yè)給自己的員工提供網(wǎng)絡(luò)是希望員工能夠有效地利用網(wǎng)絡(luò),更好、更高效地完成本職工作。然而,在企業(yè)中,員工的違規(guī)上網(wǎng)行為普遍存在,這不僅違反了企業(yè)架設(shè)計(jì)算機(jī)網(wǎng)絡(luò)的初衷,并且嚴(yán)重限制了其關(guān)鍵業(yè)務(wù)的帶寬。同時(shí),員工的違規(guī)上網(wǎng)行為,還可能帶來(lái)諸如計(jì)算機(jī)病毒等危害企業(yè)內(nèi)網(wǎng)安全的各類問(wèn)題。為了能夠有效地規(guī)范企業(yè)員工的上網(wǎng)行為,企業(yè)中亟需一種能夠規(guī)范上網(wǎng)行為的系統(tǒng)。 本文面向企業(yè)需求,深入研究了違規(guī)上網(wǎng)行為監(jiān)控和管理的方法和技術(shù),并在此基礎(chǔ)上,結(jié)合了實(shí)際系統(tǒng)的應(yīng)用需求,提出了一種基于NDIS (Network Driver Interface Specification)以及SVM (Support Vector Machine)的違規(guī)上網(wǎng)行為監(jiān)控和管理系統(tǒng)的實(shí)現(xiàn)方案,同時(shí)對(duì)方案的可行性和可用性進(jìn)行了相關(guān)實(shí)驗(yàn)和評(píng)估。 論文主要工作成果如下： (1)在驅(qū)動(dòng)層上實(shí)現(xiàn)了網(wǎng)絡(luò)數(shù)據(jù)包的過(guò)濾。論文通過(guò)對(duì)現(xiàn)有的上網(wǎng)行為控制機(jī)制以及網(wǎng)絡(luò)數(shù)據(jù)包過(guò)濾技術(shù)的研究,提出了在驅(qū)動(dòng)層面上進(jìn)行上網(wǎng)行為控制的方法。同時(shí),本文基于NDIS Filter驅(qū)動(dòng)程序進(jìn)行網(wǎng)絡(luò)數(shù)據(jù)包過(guò)濾程序的開(kāi)發(fā),實(shí)現(xiàn)了主機(jī)網(wǎng)絡(luò)傳輸中網(wǎng)絡(luò)數(shù)據(jù)包的分類別過(guò)濾,達(dá)到了控制上網(wǎng)行為的目的。 (2)實(shí)現(xiàn)了基于SVM的未知網(wǎng)頁(yè)的識(shí)別。論文通過(guò)對(duì)網(wǎng)頁(yè)文本分類技術(shù)的研究,將基于SVM的分類識(shí)別技術(shù)引入對(duì)未知網(wǎng)絡(luò)訪問(wèn)的識(shí)別中,提出了利用SVM識(shí)別未知網(wǎng)絡(luò)訪問(wèn)行為的方法。同時(shí),本文實(shí)現(xiàn)了一個(gè)基于SVM支持向量機(jī)的未知頁(yè)面識(shí)別程序,達(dá)到了識(shí)別未知上網(wǎng)行為,并分類別管控的目的。 (3)對(duì)系統(tǒng)功能進(jìn)行了實(shí)驗(yàn)及相關(guān)測(cè)試。論文通過(guò)實(shí)驗(yàn)和測(cè)試,對(duì)系統(tǒng)的可行性和可用性進(jìn)行了有效的評(píng)估,并總結(jié)了研究成果,進(jìn)一步提出了下一步的研究及系統(tǒng)改進(jìn)方向。
[Abstract]:In recent years, with the rapid development of computer and network technology, the Internet plays an increasingly important role in our work, study and life. An enterprise provides its employees with networks in the hope that they can make effective use of the network and accomplish their own work more efficiently and efficiently. However, in the enterprise, the illegal behavior of the employee is common, which not only violates the original intention of the enterprise to set up the computer network, but also restricts the bandwidth of the key business seriously. At the same time, the illegal behavior of employees on the Internet may bring all kinds of problems, such as computer virus, endangering the security of enterprise intranet. In order to standardize the behavior of employees, a system is needed to standardize the behavior. In this paper, the methods and techniques of monitoring and management of illegal online behavior are deeply studied in order to meet the needs of enterprises, and on the basis of this, the application requirements of the actual system are combined. In this paper, a scheme of monitoring and management of illegal Internet access based on NDIS Network Driver Interface Specification) and SVM support Vector Machine is proposed, and the feasibility and availability of the scheme are evaluated and tested. The main achievements of the thesis are as follows: The filter of network data packet is realized on the driver layer. Based on the research of the existing behavior control mechanism and the network packet filtering technology, this paper puts forward a method to control the Internet behavior at the driving level. At the same time, this paper develops the network packet filter program based on the NDIS Filter driver, realizes the classification filtering of the network data packet in the host network transmission, and achieves the purpose of controlling the behavior of the network. The recognition of unknown web pages based on SVM is realized. Based on the research of web page text classification technology, this paper introduces the classification and recognition technology based on SVM into the recognition of unknown network access, and proposes a method to identify unknown network access behavior using SVM. At the same time, an unknown page recognition program based on SVM support vector machine is implemented in this paper. The function of the system is tested and tested. In this paper, the feasibility and usability of the system are evaluated through experiments and tests, and the research results are summarized, and the further research and the direction of system improvement are put forward.
【學(xué)位授予單位】：北京交通大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：TP393.092;TP393.08

【共引文獻(xiàn)】

相關(guān)博士學(xué)位論文 前2條

1 吳林靜;基于語(yǔ)義場(chǎng)模型的學(xué)科資源聚類及應(yīng)用研究[D];華中師范大學(xué);2013年

2 孟春寧;人眼檢測(cè)與跟蹤的方法及應(yīng)用研究[D];南開(kāi)大學(xué);2013年

相關(guān)碩士學(xué)位論文 前3條

1 謝娟;云模型在文本分類中的應(yīng)用研究[D];重慶大學(xué);2013年

2 徐麗華;基于文本分類的海外礦業(yè)投資項(xiàng)目動(dòng)態(tài)風(fēng)險(xiǎn)評(píng)價(jià)方法研究[D];中南大學(xué);2012年

3 陳洋;維吾爾語(yǔ)不良文本信息過(guò)濾技術(shù)研究[D];新疆大學(xué);2014年

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本文編號(hào)：1963501