本文選題：可信網(wǎng)絡(luò) + 信任模型��； 參考：《南京郵電大學(xué)》2014年碩士論文

【摘要】：可信網(wǎng)絡(luò)要求網(wǎng)絡(luò)中的行為和結(jié)果是可預(yù)期、可控制的。評(píng)估網(wǎng)絡(luò)節(jié)點(diǎn)行為可信性的動(dòng)態(tài)信任模型是可信網(wǎng)絡(luò)研究的核心內(nèi)容。網(wǎng)絡(luò)中的惡意行為復(fù)雜多樣，如何評(píng)估與規(guī)范網(wǎng)絡(luò)節(jié)點(diǎn)的行為、降低惡意行為的影響并保障網(wǎng)絡(luò)穩(wěn)定地運(yùn)行以及模型本身的可實(shí)現(xiàn)性等都是動(dòng)態(tài)信任模型需要解決的問(wèn)題。 為此本文設(shè)計(jì)并實(shí)現(xiàn)了一種基于多維行為信任和決策屬性的分布式動(dòng)態(tài)信任量化模型。該模型針對(duì)網(wǎng)絡(luò)節(jié)點(diǎn)不同的行為分別進(jìn)行考察，評(píng)估節(jié)點(diǎn)的交易行為信任與反饋行為信任；同時(shí)根據(jù)信任的來(lái)源考慮信任的不同組成因素，以直接信任、反饋信任與激勵(lì)函數(shù)三種決策屬性綜合計(jì)算節(jié)點(diǎn)的信任度，根據(jù)各屬性的證據(jù)充分程度與對(duì)總體的貢獻(xiàn)動(dòng)態(tài)確定權(quán)值。多維行為信任和決策屬性能夠更準(zhǔn)確地評(píng)估節(jié)點(diǎn)行為的可信性，有效降低惡意行為對(duì)網(wǎng)絡(luò)的影響。 同時(shí)本文還設(shè)計(jì)了基于具有惡意懲罰與老化時(shí)間的信任向量計(jì)算直接信任度和構(gòu)造反饋信任樹(shù)并基于反饋信任樹(shù)計(jì)算反饋信任度的算法，提出了一種具有較高安全性和較低流量開(kāi)銷(xiāo)的加密反饋信任傳遞機(jī)制，，設(shè)計(jì)了分布式環(huán)境下節(jié)點(diǎn)的本地存儲(chǔ)結(jié)構(gòu)，解決了傳統(tǒng)動(dòng)態(tài)信任模型對(duì)模型可實(shí)現(xiàn)性研究不足的問(wèn)題。 最后通過(guò)仿真實(shí)驗(yàn)驗(yàn)證了模型的有效性，并對(duì)模型的優(yōu)缺點(diǎn)進(jìn)行了比較與分析。
[Abstract]:The trusted network requires that the behavior and results in the network are predictable and controllable. The dynamic trust model for evaluating the trustworthiness of network nodes is the core content of the research of the trusted network. The malicious behavior in the network is complex, how to evaluate and standardize the behavior of network nodes, reduce the impact of malicious behavior and ensure the stable operation of the network. And the realization of the model itself are all problems that need to be solved in the dynamic trust model.
This paper designs and implements a distributed dynamic trust quantization model based on multidimensional behavior trust and decision attributes. This model examines the behavior of nodes in different behaviors, estimates the trust of the transaction behavior and feedback behavior trust, and considers the different components of trust according to the source of trust. The trust, feedback trust and incentive function are three kinds of decision attributes to calculate the trust degree of the nodes. According to the sufficient degree of evidence of each attribute and the contribution to the overall contribution, multidimensional behavior trust and decision attributes can more accurately assess the credibility of the behavior of nodes and reduce the impact of malicious behavior on the network.
At the same time, the algorithm based on the direct trust of trust vector calculation with malicious punishment and aging time, the construction of the feedback trust tree and the feedback trust tree based on the feedback trust tree are designed, and a transmission mechanism with high security and low traffic cost is proposed, and a distributed environment is designed. The local storage structure of the point solves the problem of the lack of research on the feasibility of the traditional dynamic trust model.
Finally, the validity of the model is verified by simulation experiments, and the advantages and disadvantages of the model are compared and analyzed.
【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(lèi)號(hào)】：TP393.08

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