本文選題：信任網(wǎng)絡(luò) + 多維序列模式�。� 參考：《浙江工業(yè)大學(xué)》2014年碩士論文

【摘要】：近年來(lái),開(kāi)放網(wǎng)絡(luò)環(huán)境中的諸多應(yīng)用如P2P共享、電子商務(wù)、社交服務(wù)等已深刻地改變了人們的社會(huì)活動(dòng)和交流方式,然而,在這種開(kāi)放的、分布式的虛擬社會(huì)網(wǎng)絡(luò)中存在著大量的欺詐行為和不可靠服務(wù),嚴(yán)重影響了用戶節(jié)點(diǎn)間的交互質(zhì)量,安全問(wèn)題已經(jīng)成為制約網(wǎng)絡(luò)應(yīng)用發(fā)展的關(guān)鍵因素。 信任網(wǎng)絡(luò)能有效降低用戶間的交互風(fēng)險(xiǎn),提高系統(tǒng)服務(wù)質(zhì)量和可靠性,已成為國(guó)內(nèi)外研究的熱點(diǎn)。然而,在潛在的巨大利益驅(qū)使下,針對(duì)信任網(wǎng)絡(luò)的各種惡意攻擊行為導(dǎo)致用戶之間無(wú)法建立可靠的信任關(guān)系,極大地影響了信任網(wǎng)絡(luò)的安全性和信任評(píng)價(jià)機(jī)制的有效發(fā)揮。 現(xiàn)有信任研究大多側(cè)重于信任關(guān)系計(jì)算與信任推理這兩個(gè)方面,缺乏對(duì)信任網(wǎng)絡(luò)中信任實(shí)體重要性及其關(guān)聯(lián)關(guān)系的討論,同時(shí)還忽略了從網(wǎng)絡(luò)結(jié)構(gòu)重要性角度考慮信任網(wǎng)絡(luò)的安全問(wèn)題,針對(duì)信任網(wǎng)絡(luò)的安全保護(hù)研究還未引起人們足夠的重視。因此,本文將提出多維序列模式挖掘方法分析信任網(wǎng)絡(luò)中節(jié)點(diǎn)重要性及其關(guān)聯(lián)結(jié)構(gòu),并深入研究和分析處于網(wǎng)絡(luò)中不同地位的節(jié)點(diǎn)對(duì)信任網(wǎng)絡(luò)安全的影響和防御惡意攻擊的作用。本文主要貢獻(xiàn)如下： 1.提出一種多維信任序列模式挖掘算法MTrustSeq,該算法包括頻繁信任序列挖掘和多維模式篩選兩個(gè)處理過(guò)程,綜合考慮信任強(qiáng)度、路徑長(zhǎng)度和實(shí)體可信度等多維度因素,有效地挖掘出多維信任序列模式所包含的重要實(shí)體及其關(guān)聯(lián)結(jié)構(gòu)。仿真實(shí)驗(yàn)表明本文所提算法的挖掘結(jié)果全面、準(zhǔn)確地反映了信任網(wǎng)絡(luò)中重要實(shí)體及其關(guān)聯(lián)結(jié)構(gòu)特征。 2.考慮節(jié)點(diǎn)重要性對(duì)安全防御的影響,結(jié)合網(wǎng)絡(luò)結(jié)構(gòu)特性提出一種節(jié)點(diǎn)層次化劃分方法levelDiv,分析節(jié)點(diǎn)在影響信任傳遞和網(wǎng)絡(luò)整體安全方面的重要性,按重要性高低將信任網(wǎng)絡(luò)結(jié)構(gòu)劃分成4個(gè)類別：核心節(jié)點(diǎn)集、重要節(jié)點(diǎn)集、關(guān)聯(lián)節(jié)點(diǎn)集和無(wú)關(guān)節(jié)點(diǎn)集。實(shí)驗(yàn)表明該方法克服了傳統(tǒng)的節(jié)點(diǎn)度、介數(shù)等度量指標(biāo)的缺陷,能有效提高信任網(wǎng)絡(luò)在惡意節(jié)點(diǎn)檢測(cè)和安全防御方面的能力。
[Abstract]:In recent years, many applications in the open network environment, such as P2P sharing, e-commerce, social services and so on, have profoundly changed people's social activities and the way of communication, however, in this kind of open, There are a lot of fraud and unreliable services in distributed virtual social networks, which seriously affect the quality of interaction between user nodes. Security has become a key factor restricting the development of network applications. Trust networks can effectively reduce the risk of interaction between users, improve the quality of service and reliability of systems, and have become a hot research topic at home and abroad. However, all kinds of malicious attacks against trust networks, driven by potentially enormous benefits, make it impossible to establish reliable trust relationships between users. This has greatly affected the security of trust networks and the effective use of trust evaluation mechanisms. Most of the existing trust studies focus on trust relationship calculation and trust reasoning. There is a lack of discussion on the importance of trust entities and their relationships in trust networks, and the security of trust networks is neglected from the point of view of network structure importance. The research on the security protection of trust networks has not attracted enough attention. Therefore, this paper proposes a multi-dimensional sequential pattern mining method to analyze the importance and association structure of nodes in trust networks. The influence of nodes in different positions on the security of trust network and the role of defending against malicious attacks are studied and analyzed. The main contributions of this paper are as follows: 1. A multi-dimensional trust sequence pattern mining algorithm MTrustSeqis proposed. The algorithm includes two processes: frequent trust sequence mining and multi-dimension pattern filtering. The algorithm considers the multi-dimensional factors such as trust intensity, path length and entity credibility. The important entities and their association structures contained in the multidimensional trust sequence pattern are effectively mined. Simulation results show that the mining results of the proposed algorithm are comprehensive and accurately reflect the features of important entities and their associated structures in trust networks. 2. Considering the influence of node importance on security defense, a hierarchical node partition method, level Div, is proposed based on the characteristics of network structure, and the importance of nodes in influencing trust transfer and overall network security is analyzed. According to the importance, the trust network structure is divided into four categories: core node set, important node set, association node set and independent node set. Experiments show that the proposed method overcomes the shortcomings of traditional metrics such as node size and intermediate number and can effectively improve the ability of trust network in malicious node detection and security defense.
【學(xué)位授予單位】：浙江工業(yè)大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：TP393.08

【參考文獻(xiàn)】

相關(guān)期刊論文 前5條

1 陳建剛;王汝傳;王海艷;;網(wǎng)格資源訪問(wèn)的一種主觀信任機(jī)制[J];電子學(xué)報(bào);2006年05期

2 竇文,王懷民,賈焰,鄒鵬;構(gòu)造基于推薦的Peer-to-Peer環(huán)境下的Trust模型[J];軟件學(xué)報(bào);2004年04期

3 彭冬生;林闖;劉衛(wèi)東;;一種直接評(píng)價(jià)節(jié)點(diǎn)誠(chéng)信度的分布式信任機(jī)制[J];軟件學(xué)報(bào);2008年04期

4 石志國(guó);劉冀偉;王志良;;基于時(shí)間窗反饋機(jī)制的動(dòng)態(tài)P2P信任模型[J];通信學(xué)報(bào);2010年02期

5 秦艷琳;吳曉平;高鍵鑫;;分布式環(huán)境下信任路徑選擇性搜索及聚合研究[J];通信學(xué)報(bào);2012年S1期

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本文編號(hào)：1987862