【摘要】：隨著云計(jì)算技術(shù)的蓬勃發(fā)展,出現(xiàn)了各種參差不齊、質(zhì)量不一的云服務(wù)。由于目前缺少細(xì)分的行業(yè)服務(wù)標(biāo)準(zhǔn),用戶在使用云服務(wù)過(guò)程中,很可能會(huì)遇到服務(wù)中斷、服務(wù)水平過(guò)低、甚至是用戶數(shù)據(jù)安全受到威脅等問(wèn)題,用戶的惡意評(píng)價(jià)對(duì)云服務(wù)信譽(yù)會(huì)造成嚴(yán)重影響。因此,實(shí)現(xiàn)用戶與服務(wù)之間的可信協(xié)商已經(jīng)成為服務(wù)計(jì)算領(lǐng)域的熱點(diǎn)關(guān)注問(wèn)題,基于SLA(Service Level Agreement)的協(xié)商模式在實(shí)體之間可信交互中正發(fā)揮著越來(lái)越大的作用。本文圍繞如何實(shí)現(xiàn)用戶實(shí)體與服務(wù)實(shí)體之間可信協(xié)商交互進(jìn)行研究,通過(guò)數(shù)據(jù)規(guī)范化,用戶虛假信息過(guò)濾,不負(fù)責(zé)任評(píng)價(jià)過(guò)濾等多個(gè)層面對(duì)用戶的QoS評(píng)價(jià)信息進(jìn)行了處理;在服務(wù)信譽(yù)值計(jì)算中,對(duì)直接信任度計(jì)算中的權(quán)重分配,用戶評(píng)價(jià)可信度,穩(wěn)定性,影響因素分析等幾個(gè)方面進(jìn)行了度量,使直接信任計(jì)算更加的準(zhǔn)確;在間接信任計(jì)算中,通過(guò)可信用戶推薦,尋找可信路徑等方式實(shí)現(xiàn)準(zhǔn)確的間接可信度計(jì)算,解決了用戶實(shí)體與服務(wù)實(shí)體之間的間接可信度準(zhǔn)確計(jì)算問(wèn)題。本文的主要工作及創(chuàng)新點(diǎn)如下:1.在服務(wù)實(shí)體信譽(yù)值計(jì)算方面,提出了一種面向個(gè)性化服務(wù)屬性的間接可信度計(jì)算方法,通過(guò)分析交互發(fā)生時(shí)間、使用服務(wù)的頻率、服務(wù)交易金額等諸多因素,精確計(jì)算直接可信度。在此基礎(chǔ)上,利用樹(shù)狀拓?fù)浣Y(jié)構(gòu)尋找可信路徑的方法,解決了間接可信度準(zhǔn)確計(jì)算問(wèn)題。2.在服務(wù)等級(jí)交互方面,提出了一種云環(huán)境下基于SLA的動(dòng)態(tài)交互方法,通過(guò)分析判斷云服務(wù)商的可信級(jí)別以及用戶的可信級(jí)別,拒絕高危險(xiǎn)系數(shù)的用戶訪問(wèn)服務(wù),降低用戶惡意訪問(wèn)次數(shù),防止惡意評(píng)價(jià)數(shù)量過(guò)多,并且避免用戶對(duì)不可信服務(wù)的重復(fù)使用;根據(jù)用戶可信級(jí)別,確定云用戶隱私數(shù)據(jù)的保密級(jí)別,從而規(guī)范云用戶的可信評(píng)價(jià)行為,對(duì)云用戶的可信評(píng)價(jià)做出行為獎(jiǎng)懲措施,有效提高服務(wù)信譽(yù)值計(jì)算的精確度,為用戶與云服務(wù)之間的交互提供可信環(huán)境。3.在用戶個(gè)性化選擇服務(wù)方面,對(duì)用戶評(píng)價(jià)權(quán)重進(jìn)行了分析,通過(guò)為QoS各項(xiàng)屬性分配不同的權(quán)重,體現(xiàn)用戶的個(gè)性偏好,這直接影響到最終的服務(wù)信譽(yù)度的計(jì)算值。僅對(duì)用戶比較感興趣的幾個(gè)類別進(jìn)行權(quán)重分配計(jì)算,既節(jié)省了計(jì)算資源,又達(dá)到了計(jì)算結(jié)果準(zhǔn)確且體現(xiàn)用戶個(gè)性化的目標(biāo)。4.在穩(wěn)定性服務(wù)推薦方面,提出了一種基于穩(wěn)定性與用戶可信評(píng)價(jià)的服務(wù)推薦方法,通過(guò)將服務(wù)穩(wěn)定性量化的方式,為用戶解決服務(wù)選擇的問(wèn)題,并且對(duì)惡意用戶評(píng)價(jià)進(jìn)行過(guò)濾,減少惡意評(píng)價(jià)對(duì)服務(wù)可信度計(jì)算的影響。在間接推薦樹(shù)的基礎(chǔ)上,深層次拓展提出Top-k服務(wù)推薦網(wǎng)絡(luò)的概念,精確計(jì)算服務(wù)推薦值,提高服務(wù)信譽(yù)值計(jì)算的準(zhǔn)確度。
[Abstract]:With the rapid development of cloud computing technology, there are many different cloud services with different quality. Due to the lack of service standards in the industry at present, users may encounter some problems such as service interruption, low service level and even the threat to user data security in the process of using cloud services. The malicious evaluation of users will have a serious impact on the reputation of cloud services. Therefore, the implementation of trusted negotiation between users and services has become a hot issue in the field of service computing. Negotiation mode based on SLA (Service Level Agreement) is playing a more and more important role in trusted interaction between entities. This paper focuses on how to realize the trusted negotiation interaction between user entities and service entities. Through data standardization, user false information filtering, irresponsible evaluation filtering and so on, the user's QoS evaluation information is processed. In the calculation of service reputation value, the weight distribution, user evaluation reliability, stability and influence factor analysis of direct trust calculation are measured to make the direct trust calculation more accurate. In indirect trust computing, accurate indirect trust calculation is realized by recommending trusted users and finding trusted paths, which solves the problem of accurate calculation of indirect credibility between user entities and service entities. The main work and innovation of this paper are as follows: 1. In the aspect of calculating the credit value of service entity, an indirect credibility calculation method for individualized service attribute is proposed. By analyzing the interaction time, the frequency of using service, the transaction amount of service, and so on, Accurate calculation of direct credibility. On this basis, using the tree topology to find the trusted path, the problem of accurate calculation of indirect credibility is solved. 2. In the aspect of service level interaction, a dynamic interaction method based on SLA in cloud environment is proposed. By analyzing and judging the trust level of cloud service provider and user's trust level, the users with high risk coefficient are denied access to the service. Reducing the number of malicious visits of users, preventing the number of malicious evaluation from excessive, and avoiding the repeated use of untrusted services by users; According to the level of user trust, the level of confidentiality of cloud users' privacy data is determined, so as to standardize the behavior of cloud users' trusted evaluation, to reward and punish the behavior of cloud users' trusted evaluation, and to effectively improve the accuracy of service reputation value calculation. Provide a trusted environment for interaction between users and cloud services. 3. In the aspect of personalized service selection, the weight of user evaluation is analyzed. By assigning different weights to each attribute of QoS, the user's personality preference is reflected, which directly affects the calculation value of the final service reputation. Only several classes of users are interested in weight distribution calculation, which not only saves computing resources, but also achieves the goal of accurate calculation results and personalization of users. 4. In the aspect of stable service recommendation, a service recommendation method based on stability and user trust evaluation is proposed. By quantifying the service stability, the problem of service selection is solved for the user, and the malicious user evaluation is filtered. Reduce the effect of malicious evaluation on service reliability calculation. On the basis of indirect recommendation tree, the concept of Top-k service recommendation network is proposed to accurately calculate service recommendation value and improve the accuracy of service reputation value calculation.
【學(xué)位授予單位】：山東師范大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TP393.09

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