發(fā)布時(shí)間：2018-04-26 16:51

  本文選題：網(wǎng)絡(luò)通信數(shù)據(jù) + 信息可視化　； 參考：《國(guó)防科學(xué)技術(shù)大學(xué)》2014年碩士論文

【摘要】：伴隨著社會(huì)和科學(xué)的快速發(fā)展,計(jì)算機(jī)網(wǎng)絡(luò)已經(jīng)成為成為了幾乎覆蓋世界所有角落的龐大系統(tǒng)。伴隨這計(jì)算機(jī)互聯(lián)網(wǎng)規(guī)模的日益龐大,其每時(shí)每刻所產(chǎn)生的網(wǎng)絡(luò)通信數(shù)據(jù)也成幾何爆炸式的增長(zhǎng),直接推動(dòng)社會(huì)進(jìn)入大數(shù)據(jù)時(shí)代。而計(jì)算機(jī)網(wǎng)絡(luò)通信數(shù)據(jù)在許多領(lǐng)域都有著不可替代的作用。然而,在現(xiàn)階段對(duì)網(wǎng)絡(luò)通信數(shù)據(jù)的利用并不是很理想,還存在著實(shí)時(shí)性差、誤解率高的問題。而可視化分析技術(shù)的日益成熟,其強(qiáng)大的輔助分析能力體現(xiàn)的越來(lái)越充分。所以,對(duì)網(wǎng)絡(luò)通信數(shù)據(jù)進(jìn)行可視化分析是一個(gè)非常有意義的研究工作。針對(duì)網(wǎng)絡(luò)通信數(shù)據(jù)的特點(diǎn),以及在不同應(yīng)用背景下用戶對(duì)網(wǎng)絡(luò)通信數(shù)據(jù)分析的不同需求,本文研究設(shè)計(jì)了多種可視化方案和相應(yīng)的交互策略,在提高用戶對(duì)繁雜網(wǎng)絡(luò)通信數(shù)據(jù)的認(rèn)知能力和分析能力。本文的研究工作主要有以下幾點(diǎn):(1)針對(duì)用戶對(duì)網(wǎng)絡(luò)節(jié)點(diǎn)之間的通信可達(dá)性關(guān)系分析的需求,提出了一種基于通信強(qiáng)度集束的平行坐標(biāo)系可視化方法,通過(guò)定義可達(dá)性矩陣、通信強(qiáng)度矩陣,在統(tǒng)一視圖下直觀表現(xiàn)感興趣節(jié)點(diǎn)、源節(jié)點(diǎn)、目標(biāo)節(jié)點(diǎn)集合及其分布,以及它們之間的可達(dá)關(guān)系,以適合用戶理解的強(qiáng)、中、弱三級(jí)概念對(duì)可達(dá)關(guān)系曲線進(jìn)行模糊集束,并輔以適合的人機(jī)交互手段,達(dá)到局部放大、快速篩選的目的。(2)針對(duì)用戶對(duì)某些特殊的網(wǎng)絡(luò)通信行為分析的需求,總結(jié)出這些通信行為固有的通信模式及其特點(diǎn),設(shè)計(jì)了基于平行坐標(biāo)系的可視化方案,利用不同類型通信行為表現(xiàn)出的視覺特征,以及人眼的視覺發(fā)現(xiàn)能力,輔以人機(jī)交互手段,使用戶可以對(duì)特殊區(qū)域進(jìn)行篩選,提高其從繁雜的網(wǎng)絡(luò)通信流中發(fā)現(xiàn)某種特殊的網(wǎng)絡(luò)通信行為的能力。(3)常規(guī)的網(wǎng)絡(luò)拓?fù)鋱D僅能表現(xiàn)節(jié)點(diǎn)及節(jié)點(diǎn)間的關(guān)系,難以支持后續(xù)的網(wǎng)絡(luò)業(yè)務(wù)結(jié)構(gòu)分析等需求,本文提出了一種流量力引導(dǎo)布局算法,根據(jù)流量信息形成帶有節(jié)點(diǎn)聚類的網(wǎng)絡(luò)節(jié)點(diǎn)圖,不僅能夠展現(xiàn)節(jié)點(diǎn)間的連接關(guān)系,而且能夠體現(xiàn)這種關(guān)系的流量屬性以及節(jié)點(diǎn)的類屬特征,通過(guò)交互手段,還可以輔助實(shí)現(xiàn)多粒度分析、活躍節(jié)點(diǎn)發(fā)現(xiàn)等功能。(4)針對(duì)用戶在多層網(wǎng)絡(luò)結(jié)構(gòu)中對(duì)網(wǎng)絡(luò)通信流承載關(guān)系分析的需求,提出基于層次布局的網(wǎng)絡(luò)通信流可視化方案。針對(duì)計(jì)算機(jī)網(wǎng)絡(luò)不同布局方式之間所具有的對(duì)應(yīng)關(guān)系和差異性,通過(guò)對(duì)已有布局的局部調(diào)整,在統(tǒng)一的視圖下清晰展現(xiàn)多層結(jié)構(gòu)及其映射關(guān)系,輔助用戶對(duì)網(wǎng)絡(luò)通信流承載關(guān)系的可視化分析。
[Abstract]:With the rapid development of society and science, computer network has become a huge system covering almost every corner of the world. With the increasing scale of the computer Internet, the network communication data generated by the computer at every moment has also become a geometric explosive growth, directly promoting the society into the big data era. The computer network communication data plays an irreplaceable role in many fields. However, at present, the utilization of network communication data is not ideal, and there are still some problems such as poor real time and high misunderstanding rate. With the development of visual analysis technology, its powerful ability of auxiliary analysis is becoming more and more perfect. Therefore, the visual analysis of network communication data is a very meaningful research work. In view of the characteristics of network communication data and the different requirements of users for network communication data analysis under different application backgrounds, this paper studies and designs various visualization schemes and corresponding interactive strategies. In improving the users of complex network communication data cognitive and analytical ability. The main research work of this paper is as follows: 1) aiming at the demand of users to analyze the communication reachability relationship between network nodes, a parallel coordinate system visualization method based on communication intensity cluster is proposed, and the reachability matrix is defined. The communication intensity matrix, which directly represents the set of nodes of interest, source nodes, target nodes and their distribution in a unified view, and their reachability, in order to suit the user's understanding of the strong, medium, The concept of weak three level carries on the fuzzy cluster to the reachable relation curve, and adjusts with the suitable man-machine interactive means, achieves the local magnification, the fast sieving goal. (2) according to the user's demand for some special network communication behavior analysis, This paper summarizes the inherent communication modes and their characteristics of these communication behaviors, designs a visualization scheme based on parallel coordinate system, utilizes the visual characteristics of different types of communication behaviors, and the visual discovery ability of human eyes. By means of man-machine interaction, users can screen special areas and improve their ability to find some special network communication behavior from the complicated network traffic.) the conventional network topology can only show the relationship between nodes and nodes. It is difficult to support the requirements of subsequent network service structure analysis. In this paper, a traffic force guided layout algorithm is proposed. According to the traffic information, a network node graph with node clustering is formed, which can not only show the connection relationship between nodes. Moreover, it can reflect the flow attribute of this relationship and the generic characteristics of nodes. By means of interaction, it can also help to realize multi-granularity analysis. Active Node Discovery and other functions. (4) aiming at the demand of users to analyze the bearing relationship of network traffic in multi-layer network structure, a network traffic visualization scheme based on hierarchical layout is proposed. In view of the correspondence and difference between different layout modes of computer network, the multi-layer structure and its mapping relationship are clearly displayed under the unified view by local adjustment to the existing layout. Visual analysis of network traffic load-bearing relationship by auxiliary users.
【學(xué)位授予單位】：國(guó)防科學(xué)技術(shù)大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：TP393.0

【參考文獻(xiàn)】

相關(guān)期刊論文 前1條

1 孫揚(yáng);蔣遠(yuǎn)翔;趙翔;肖衛(wèi)東;;網(wǎng)絡(luò)可視化研究綜述[J];計(jì)算機(jī)科學(xué);2010年02期

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本文編號(hào)：1806843