本文關(guān)鍵詞：融合信譽(yù)評(píng)價(jià)的云存儲(chǔ)安全優(yōu)化方法研究　出處：《河南科技大學(xué)》2014年碩士論文　論文類型：學(xué)位論文

  更多相關(guān)文章： 云計(jì)算 云存儲(chǔ) 云服務(wù) 信譽(yù)機(jī)制 冗余優(yōu)化

【摘要】：云計(jì)算（Cloud computing）的基礎(chǔ)是虛擬化，通過(guò)互聯(lián)網(wǎng)提供整合的基礎(chǔ)設(shè)施、平臺(tái)、軟件等服務(wù)，將分布式的計(jì)算資源、存儲(chǔ)等聚合成具有超強(qiáng)的計(jì)算能力的虛擬計(jì)算機(jī)。云存儲(chǔ)（Cloud storage）作為云計(jì)算的延伸概念，為網(wǎng)絡(luò)應(yīng)用在線存儲(chǔ)的海量數(shù)據(jù)提供了有效的解決方案，在節(jié)約存儲(chǔ)資源投入的情況下，提供了一個(gè)遠(yuǎn)端備份、在線存儲(chǔ)訪問(wèn)的大型數(shù)據(jù)中心。但云存儲(chǔ)服務(wù)目前面臨許多安全問(wèn)題，用戶向云端存放敏感數(shù)據(jù)時(shí)，由于無(wú)法直接控制存儲(chǔ)資源，，對(duì)云端數(shù)據(jù)可能發(fā)生的安全威脅無(wú)法感知，對(duì)云存儲(chǔ)服務(wù)難以信賴。 本文針對(duì)云存儲(chǔ)服務(wù)可靠性的問(wèn)題，在分析了現(xiàn)有的云存儲(chǔ)安全技術(shù)的基礎(chǔ)上，融合信譽(yù)機(jī)制為云存儲(chǔ)服務(wù)提供可靠地信譽(yù)保障，增加可信第三方為云存儲(chǔ)服務(wù)參與方提供安全監(jiān)測(cè)，并通過(guò)優(yōu)化冗余災(zāi)備保障云端數(shù)據(jù)高可用性。主要研究工作包括以下幾個(gè)方面： （1）分析了現(xiàn)有的云存儲(chǔ)關(guān)鍵技術(shù)，全面系統(tǒng)的闡述了現(xiàn)有研究進(jìn)展，介紹了目前云存儲(chǔ)中存在的主要問(wèn)題，討論當(dāng)前相關(guān)技術(shù)的研究方法。 （2）構(gòu)建云存儲(chǔ)服務(wù)信譽(yù)管理機(jī)制，一方面針對(duì)云服務(wù)數(shù)據(jù)量大、強(qiáng)動(dòng)態(tài)性、集中式管理復(fù)雜的問(wèn)題，融合自律計(jì)算的思想，提出了一種自主信譽(yù)管理機(jī)制。另外，針對(duì)不實(shí)評(píng)價(jià)進(jìn)行信譽(yù)修正，提出了一種不實(shí)評(píng)價(jià)過(guò)濾方法。 （3）提出了一種融合信譽(yù)評(píng)價(jià)的云存儲(chǔ)模型，使用戶可以從提供商中獲得高質(zhì)量的可靠存儲(chǔ)服務(wù)，同時(shí)在用戶和服務(wù)提供商間建立一種直接的互相信任。提出的云存儲(chǔ)模型支持?jǐn)?shù)據(jù)塊級(jí)的動(dòng)態(tài)操作、支持授權(quán)用戶訪問(wèn)外包數(shù)據(jù)的最新版本、允許數(shù)據(jù)屬主授予或者撤銷外包數(shù)據(jù)的訪問(wèn)權(quán)限。 （4）針對(duì)分布在眾多彈性節(jié)點(diǎn)中的數(shù)據(jù)高可用性保障，降低數(shù)據(jù)冗余度，提出了一種基于擦除碼的高可靠云存儲(chǔ)方案，通過(guò)編碼冗余保證數(shù)據(jù)文件高可用性同時(shí)優(yōu)化存儲(chǔ)冗余度，利用Chord環(huán)提升數(shù)據(jù)塊分布式容災(zāi)存儲(chǔ)檢索效率。
[Abstract]:Cloud computing is based on virtualization, providing integrated infrastructure, platforms, software, and other services over the Internet, and distributed computing resources. Storage is aggregated into a virtual computer with super computing power. Cloud storage is an extended concept of cloud computing. It provides an effective solution for the massive data stored online by network applications, and provides a remote backup under the condition of saving the investment of storage resources. However, cloud storage service is faced with many security problems. When users store sensitive data to the cloud, they can not directly control storage resources. You can't perceive security threats to cloud data and trust cloud storage services. Aiming at the problem of cloud storage service reliability, based on the analysis of the existing cloud storage security technology, this paper integrates the reputation mechanism to provide a reliable reputation guarantee for cloud storage service. Adding trusted third parties to provide security monitoring for cloud storage service participants and ensuring high availability of cloud data by optimizing redundant disaster preparedness. In this paper, the key technologies of cloud storage are analyzed, the current research progress is described systematically, the main problems existing in cloud storage are introduced, and the research methods of related technologies are discussed. Build cloud storage service reputation management mechanism, on the one hand for cloud service data volume, strong dynamic, centralized management of complex problems, the integration of the idea of self-discipline computing. An independent reputation management mechanism is proposed, and a filtering method for false evaluation is proposed. A cloud storage model integrating reputation evaluation is proposed to enable users to obtain high quality reliable storage services from providers. At the same time, a direct mutual trust between users and service providers is established. The proposed cloud storage model supports block level dynamic operation of data, and supports authorized users to access the latest version of outsourced data. Allow the data to be granted or revoked by the master. In order to ensure the high availability of data and reduce the data redundancy, a high reliability cloud storage scheme based on erasure code is proposed. The high availability of data files and the optimization of storage redundancy are ensured by encoding redundancy, and the efficiency of distributed disaster recovery storage retrieval of data blocks is improved by using Chord loop.
【學(xué)位授予單位】：河南科技大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：TP333

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