本文選題：云存儲 + 完整性驗(yàn)證�。� 參考：《華北水利水電大學(xué)》2017年碩士論文

【摘要】：目前,隨著近些年云計算的迅猛發(fā)展,其相關(guān)的產(chǎn)品也得到了井噴式的發(fā)展,而云存儲在云計算的產(chǎn)品中占有重要的地位,由于數(shù)據(jù)量呈現(xiàn)爆炸式的增加,對于數(shù)據(jù)的存儲也提出了新的要求,傳統(tǒng)的存儲方式已經(jīng)遠(yuǎn)遠(yuǎn)不能滿足現(xiàn)在的存儲要求,云存儲的出現(xiàn)極大的滿足了人們對于海量數(shù)據(jù)存儲的需求,但是與云存儲相關(guān)的安全問題隨之而來,云存儲給人們帶來便捷的同時也為非法盜取數(shù)據(jù)提供了方法。安全問題成了云存儲發(fā)展的一個瓶頸,如何使用戶的數(shù)據(jù)能夠保證安全,不被有意或者無意的篡改,通過何種方式能讓用戶更加便捷的知道數(shù)據(jù)的安全情況,是否遭受破壞。本文主要針對云存儲上數(shù)據(jù)完整性驗(yàn)證進(jìn)行研究。通過對比分析現(xiàn)有完整性驗(yàn)證機(jī)制的優(yōu)劣。進(jìn)一步提出新的完整性驗(yàn)證機(jī)制,以期更好的對于數(shù)據(jù)完整性驗(yàn)證提供幫助。論文主要內(nèi)容包括:1.論文首先對于目前的幾種完整性驗(yàn)證方法進(jìn)行梳理和分析,并且重點(diǎn)分析了MHT模型。然后提出了一種既支持動態(tài)數(shù)據(jù)塊更新、又支持公開驗(yàn)證的完整性檢測方案模型R-MHT,在對R-MHT模型進(jìn)行了角色和函數(shù)定義之后,構(gòu)造了在模型中的兩種檢測過程,并且給出R-MHT模型的修改、插入和刪除三種操作算法。2.針對提出的R-MHT模型首先通過理論分析,理論上得出計算、通信和存儲復(fù)雜度。這些計算出來的復(fù)雜度和POR、PDP、MHT進(jìn)行了對比,得出了R-MHT模型的優(yōu)勢所在,然后在Hadoop上進(jìn)行模擬實(shí)驗(yàn)分析。通過在Hadoop上的模擬實(shí)驗(yàn),可以得出R-MHT模型在數(shù)據(jù)塊一定的情況下,R-MHT模型的響應(yīng)反饋時間的優(yōu)勢。
[Abstract]:At present, with the rapid development of cloud computing in recent years, its related products have also been blowout development. Cloud storage plays an important role in cloud computing products. For the storage of data has put forward new requirements, the traditional storage way has been far from meeting the current storage requirements, cloud storage has greatly met the demand for massive data storage. However, the security problems related to cloud storage come along. Cloud storage brings convenience to people, and it also provides a method for illegally stealing data. Security problem has become a bottleneck of cloud storage development, how to make the user's data secure, not intentionally or unintentionally tampered with, through what means can users know the security situation of the data more conveniently, whether it has been damaged. This paper focuses on data integrity verification on cloud storage. The advantages and disadvantages of the existing integrity verification mechanism are compared and analyzed. Further, a new integrity verification mechanism is proposed to provide better help for data integrity verification. The main contents of the thesis include: 1. In this paper, firstly, several integrity verification methods are combed and analyzed, and the MHT model is analyzed. Then, an integrity checking scheme model R-MHT, which supports both dynamic data block update and public verification, is proposed. After defining the roles and functions of the R-MHT model, two detection processes are constructed in the model. The modification, insertion and deletion of R-MHT model are also given. 2. 2. Firstly, the computational, communication and storage complexity of the proposed R-MHT model is obtained by theoretical analysis. The computational complexity is compared with that of PORN PDP- MHT, and the advantages of R-MHT model are obtained, and then the simulation experiments are carried out on Hadoop. Through the simulation experiments on Hadoop, the superiority of R-MHT model in response feedback time of R-MHT model under certain data block can be obtained.
【學(xué)位授予單位】：華北水利水電大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TP333

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