本文選題：開放網(wǎng)絡(luò)　切入點：信任評估　出處：《南京郵電大學(xué)》2014年碩士論文　論文類型：學(xué)位論文

【摘要】：近年來，隨著互聯(lián)網(wǎng)的興起和發(fā)展，現(xiàn)有的信任評估機制還存在一些不足，如不能快速有效地處理針對評估機制的惡意攻擊，不能滿足現(xiàn)實節(jié)點對評估準(zhǔn)確性的要求，不能有效地識別和預(yù)防共謀節(jié)點的攻擊等。針對以上不足，本文對信任評估機制做了深入研究，并提出了一種基于改進(jìn)D-S證據(jù)理論的可信評估機制。所做出的具體工作如下： 首先，提出了一種基于改進(jìn)D-S證據(jù)理論的信任評估模型及其實現(xiàn)框架。結(jié)合D-S證據(jù)理論對信任的表達(dá)方式用一個三元組重新給出了定義，從而考慮了信任的不確定特性；改進(jìn)基本可信度函數(shù)，用持續(xù)序列因子來解決網(wǎng)絡(luò)實體的振蕩攻擊和欺騙攻擊行為；給出計算持續(xù)序列因子的具體算法，使模型的實用性更強；對基于D-S證據(jù)理論的三元組信任關(guān)系，，提出了基于評估函數(shù)的歸一化方法，使信任的度量更準(zhǔn)確。實驗證明本模型能更快地抑制單體惡意攻擊行為，并且使評估結(jié)果更貼近實際值。 其次，提出了基于G-N算法的共謀節(jié)點識別模型及其部署實現(xiàn)。結(jié)合社會學(xué)關(guān)系對網(wǎng)絡(luò)團(tuán)體的共謀行為進(jìn)行分析得出相互吹捧的行為特征，為后期的聚類做進(jìn)一步的準(zhǔn)備；給出計算相互吹捧系數(shù)的具體算法，讓算法的實用性更強；設(shè)計可疑共謀節(jié)點的社區(qū)劃分方法，進(jìn)一步縮小備選項的數(shù)據(jù)集，使算法的效率更高；通過評估各可疑團(tuán)體的共謀程度和共謀危害識別出共謀節(jié)點，使該信任模型能更好地抑制共謀攻擊行為。實驗證明該識別模型在識別共謀節(jié)點方面有較高的準(zhǔn)確性，增強了信任評估機制的安全性和可靠性。 最后，基于以上的理論基礎(chǔ)，本文設(shè)計并實現(xiàn)了基于改進(jìn)D-S的信任評估機制的仿真系統(tǒng)，并進(jìn)行了仿真實驗以及結(jié)果分析，驗證了本模型具有更快地抑制單體惡意攻擊行為和共謀攻擊行為，提高了評估結(jié)果的準(zhǔn)確性。
[Abstract]:In recent years, with the rise and development of the Internet, the existing trust evaluation mechanism has some shortage, such as can not be handled quickly and efficiently according to the evaluation mechanism of malicious attacks, can not meet the requirements of the evaluation accuracy of realistic node, can not effectively identify and prevent collusion nodes attack. To solve the above problems, this paper makes a deep mechanism research on trust evaluation, and proposes a trust evaluation mechanism based on improved D-S evidence theory. The specific work made as follows:
First of all, proposed a trust evaluation model based on improved D-S evidence theory and its implementation framework. Combined with the expression of D-S evidence theory of trust with a three tuple redefined, and considering the uncertain characteristics of trust; improve the basic probability function, using continuous sequence factor to resolve network entity attacks and oscillation spoofing attack behavior; calculating specific algorithm for series factor, the more practical model of trust; three tuple based on D-S evidence theory, proposed normalization method based on evaluating function, the trust metric is more accurate. The experiment proved that the model can quickly suppress single malicious attacks, and make the assessment it is more close to the actual value.
Secondly, put forward to realize common node recognition model of G-N algorithm and its deployment. Based on the combination of Sociology of network group collusion analyze the behavior characteristics of praise from each other to make further preparations for later clustering; arithmetic backslapping coefficients are given, so that more practical algorithm; community division method suspected collusion nodes, further narrowing the options data set, make the algorithm more efficient; by assessing various suspicious groups collusion and collusion harm degree identify collusion nodes, so that the trust model can effectively reduce the collusion behavior. Experimental results show that the recognition model has higher accuracy in recognition of common nodes. To enhance the safety and reliability of the trust evaluation mechanism.
Finally, based on the above theory, this paper designed and implemented the simulation system of trust evaluation mechanism based on improved D-S, and the simulation and analysis of the results, proved this model has faster inhibition of monomer malicious attacks and collusion attack behavior, improve the accuracy of the evaluation results.

【學(xué)位授予單位】：南京郵電大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：TP393.08

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 張琳;王汝傳;張永平;;一種基于模糊集合的可用于網(wǎng)格環(huán)境的信任評估模型[J];電子學(xué)報;2008年05期

2 陳超;王汝傳;張琳;;一種基于開放式網(wǎng)絡(luò)環(huán)境的模糊主觀信任模型研究[J];電子學(xué)報;2010年11期

3 田春岐;鄒仕洪;王文東;程時端;;一種新的基于改進(jìn)型D-S證據(jù)理論的P2P信任模型[J];電子與信息學(xué)報;2008年06期

4 蔣黎明;張宏;張琨;徐建;;開放系統(tǒng)中一種基于模糊修正的證據(jù)信任模型[J];電子與信息學(xué)報;2011年08期

5 馬彬;謝顯中;;無線傳感器網(wǎng)絡(luò)云信任模型[J];計算機科學(xué);2010年03期

6 李明楚;楊彬;鐘煒;田琳琳;江賀;胡紅鋼;;基于反饋機制的網(wǎng)格動態(tài)授權(quán)新模型[J];計算機學(xué)報;2009年11期

7 田春岐;江建慧;胡治國;李峰;;一種基于聚集超級節(jié)點的P2P網(wǎng)絡(luò)信任模型[J];計算機學(xué)報;2010年02期

8 朱友文;黃劉生;陳國良;楊威;;分布式計算環(huán)境下的動態(tài)可信度評估模型[J];計算機學(xué)報;2011年01期

9 魏志強;周煒;任相軍;魏青;賈東寧;康密軍;殷波;叢艷平;;普適計算環(huán)境中防護(hù)策略的信任決策機制研究[J];計算機學(xué)報;2012年05期

10 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;2004年04期

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