發(fā)布時(shí)間：2018-11-23 19:59

【摘要】：互聯(lián)網(wǎng)時(shí)代大規(guī)模的數(shù)據(jù)存儲(chǔ)和計(jì)算任務(wù)催生了云計(jì)算的出現(xiàn)，而云計(jì)算的安全問題也日益受到重視。在外包服務(wù)場(chǎng)景，尤其是云存儲(chǔ)中,數(shù)據(jù)安全問題顯得更加重要。外包數(shù)據(jù)有自己的許多特點(diǎn)，如安全性要求、分布式存儲(chǔ)、查詢檢索和查詢保證。本文就查詢保證的性質(zhì)進(jìn)行分析，分別解決保證各個(gè)性質(zhì)所需要的方法。研究的性質(zhì)分為五個(gè)方面，分別是機(jī)密性、新鮮性、正確性、完成性和查詢完整性。這里的查詢完整性是一個(gè)新的概念，指的是云服務(wù)器能否誠(chéng)實(shí)的執(zhí)行用戶所進(jìn)行的查詢。本文主要內(nèi)容如下： (1)闡述查詢保證系統(tǒng)的的結(jié)構(gòu)。云查詢保證的結(jié)構(gòu)分為用戶和云服務(wù)提供商，其中用戶又分為客戶和數(shù)據(jù)擁有者。對(duì)比了概率型查詢保證和驗(yàn)證型查詢保證，并采用驗(yàn)證型查詢保證作為后續(xù)工作的機(jī)制。這一部分也對(duì)機(jī)密性、新鮮性、正確性、完成性和查詢完整性的方法進(jìn)行分析對(duì)比，得出最可行的方法。最后通過分析查詢保證的步驟，從而得出高效的性質(zhì)驗(yàn)證步驟。 (2)分別對(duì)單點(diǎn)查詢完整性、范圍查詢完整性和多屬性查詢完整性進(jìn)行研究。單點(diǎn)查詢完整性研究了機(jī)密性、新鮮性、正確性和查詢完整性。范圍查詢根據(jù)查詢的方法不同，導(dǎo)致葉子節(jié)點(diǎn)架構(gòu)的差別，從而進(jìn)一步導(dǎo)致各個(gè)性質(zhì)查詢的區(qū)別。多屬性查詢則來自多個(gè)屬性樹和多個(gè)范圍查詢。有所不同的是，，多屬性查詢針對(duì)每個(gè)哈希樹的五個(gè)屬性分別處理，尤其是在保證正確性和完成性方面。最后提出了我們工作的總結(jié)和對(duì)來我們需要完成工作的方向。
[Abstract]:The large-scale data storage and computing tasks in the Internet era have spawned the emergence of cloud computing, and the security of cloud computing has been paid more and more attention. In outsourced service scenarios, especially in cloud storage, data security becomes more important. Outsourcing data has its own characteristics, such as security requirements, distributed storage, query retrieval and query assurance. In this paper, we analyze the nature of query guarantee, and solve the methods needed to guarantee each property separately. The nature of the study is classified into five aspects: confidentiality, freshness, correctness, completeness and query integrity. Query integrity here is a new concept, which refers to whether the cloud server can honestly execute the query made by the user. The main contents of this paper are as follows: (1) the structure of query guarantee system is expounded. The structure of cloud query guarantee is divided into user and cloud service provider, where user is divided into customer and data owner. The probabilistic query guarantee and the verification query guarantee are compared, and the verification query guarantee is adopted as the follow-up mechanism. In this part, the methods of confidentiality, freshness, correctness, completeness and query integrity are analyzed and compared, and the most feasible method is obtained. Finally, by analyzing the steps of query guarantee, the efficient property verification steps are obtained. (2) the integrity of single point query, range query and multi attribute query are studied respectively. Single-point query integrity studies confidentiality, freshness, correctness and query integrity. According to the different query methods, the range query leads to the difference of the leaf node structure, which further leads to the difference of each nature of the query. Multiple attribute queries come from multiple attribute trees and multiple range queries. The difference is that multiple attribute queries are processed separately for five attributes of each hash tree, especially in terms of accuracy and completeness. Finally, we put forward the summary of our work and the direction we need to complete the work.
【學(xué)位授予單位】：西安電子科技大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：TP333;TP309.7

【共引文獻(xiàn)】

相關(guān)碩士學(xué)位論文 前6條

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5 洪濟(jì)海;外包空間數(shù)據(jù)庫(kù)中反向k近鄰查詢驗(yàn)證方法研究[D];燕山大學(xué);2013年

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本文編號(hào)：2352549