本文選題：開放網(wǎng)絡(luò)　切入點(diǎn)：信任評(píng)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(lái)，隨著互聯(lián)網(wǎng)的興起和發(fā)展，現(xiàn)有的信任評(píng)估機(jī)制還存在一些不足，如不能快速有效地處理針對(duì)評(píng)估機(jī)制的惡意攻擊，不能滿足現(xiàn)實(shí)節(jié)點(diǎn)對(duì)評(píng)估準(zhǔn)確性的要求，不能有效地識(shí)別和預(yù)防共謀節(jié)點(diǎn)的攻擊等。針對(duì)以上不足，本文對(duì)信任評(píng)估機(jī)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(píng)估機(jī)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(píng)估模型及其實(shí)現(xiàn)框架。結(jié)合D-S證據(jù)理論對(duì)信任的表達(dá)方式用一個(gè)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(lái)解決網(wǎng)絡(luò)實(shí)體的振蕩攻擊和欺騙攻擊行為；給出計(jì)算持續(xù)序列因子的具體算法，使模型的實(shí)用性更強(qiáng)；對(duì)基于D-S證據(jù)理論的三元組信任關(guān)系，，提出了基于評(píng)估函數(shù)的歸一化方法，使信任的度量更準(zhǔn)確。實(shí)驗(yàn)證明本模型能更快地抑制單體惡意攻擊行為，并且使評(píng)估結(jié)果更貼近實(shí)際值。 其次，提出了基于G-N算法的共謀節(jié)點(diǎn)識(shí)別模型及其部署實(shí)現(xiàn)。結(jié)合社會(huì)學(xué)關(guān)系對(duì)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(jì)算相互吹捧系數(shù)的具體算法，讓算法的實(shí)用性更強(qiáng)；設(shè)計(jì)可疑共謀節(jié)點(diǎn)的社區(qū)劃分方法，進(jìn)一步縮小備選項(xiàng)的數(shù)據(jù)集，使算法的效率更高；通過(guò)評(píng)估各可疑團(tuán)體的共謀程度和共謀危害識(shí)別出共謀節(jié)點(diǎn)，使該信任模型能更好地抑制共謀攻擊行為。實(shí)驗(yàn)證明該識(shí)別模型在識(shí)別共謀節(jié)點(diǎn)方面有較高的準(zhǔn)確性，增強(qiáng)了信任評(píng)估機(jī)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(jì)并實(shí)現(xiàn)了基于改進(jìn)D-S的信任評(píng)估機(jī)制的仿真系統(tǒng)，并進(jìn)行了仿真實(shí)驗(yàn)以及結(jié)果分析，驗(yàn)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(píng)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(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：TP393.08

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