【摘要】：云存儲技術(shù)的發(fā)展使將文件存儲在云端的人們的數(shù)量變得越來越大。人們將數(shù)據(jù)存儲在云端的目的是為了節(jié)約存儲設(shè)備的花費(fèi)。那么如何保證數(shù)據(jù)在云存儲中的隱私性和完整性就成了人們現(xiàn)在所需考慮的安全問題。尤其是,當(dāng)用戶請求刪除云存儲中的數(shù)據(jù)時(shí),如何保證該數(shù)據(jù)確實(shí)從云存儲的存儲設(shè)備中被刪除從而無法被他人獲取數(shù)據(jù)內(nèi)容的問題。針對上述安全問題,本文首先介紹了密碼學(xué)和現(xiàn)有的云存儲中關(guān)于數(shù)據(jù)刪除的相關(guān)技術(shù)。研究和分析了現(xiàn)有的數(shù)據(jù)確定性刪除方案之后,現(xiàn)有的方案對云存儲中文件的關(guān)聯(lián)性問題關(guān)注的比較少。云存儲中保存的文件之間并不是孤立的,用戶存儲在云存儲中的文件可能在內(nèi)容或者其他方面存在關(guān)聯(lián)。不光是云存儲上的文件之間,用戶的文件存儲在云上,每個文件都會存在其對應(yīng)的副本。同一個文件的副本之間也存在著關(guān)聯(lián)性。如果用戶在刪除文件的同時(shí),不將云存儲上與該文件關(guān)聯(lián)的其他文件刪除,不誠實(shí)的云存儲提供商可能會通過竊取關(guān)聯(lián)文件的方法還原用戶的原文件,導(dǎo)致用戶信息的泄露。為了解決上一段提出的問題,本文提出了面向云存儲的關(guān)聯(lián)性刪除方案。該方案主要思想是在用戶需要對云端文件執(zhí)行刪除操作時(shí),方案通過對文件內(nèi)容以及用戶操作云文件行為的分析,將與待刪除文件內(nèi)容關(guān)聯(lián)、訪問關(guān)聯(lián)的文件列表反饋給用戶,讓用戶決定最終刪除文件的列表,從而輔助用戶達(dá)到確定性刪除的目的。本文還需要解決數(shù)據(jù)的確定性刪除問題。用戶在對云端的數(shù)據(jù)進(jìn)行刪除操作之后,需要確定云存儲誠實(shí)的將云端的文件刪除了,而不是只給用戶發(fā)送了一個刪除成功的偽造的反饋。為了解決這個問題,我們首先研究了沙漏模型。然后借鑒沙漏模型確定云端文件被正確編碼的思想提出了基于沙漏模型的確定性刪除方案。
[Abstract]:With the development of cloud storage technology, more and more people store files in the cloud. People store data in the cloud to save money on storage devices. Therefore, how to ensure the privacy and integrity of data in cloud storage becomes a security issue that people need to consider now. In particular, when the user requests to delete the data in cloud storage, how to ensure that the data is deleted from the storage device of cloud storage, so that the data content can not be obtained by others. In view of the above security problems, this paper first introduces the cryptography and the existing cloud storage technology about data deletion. After studying and analyzing the existing data deterministic deletion schemes, the existing schemes pay less attention to the problem of file correlation in cloud storage. Files stored in cloud storage are not isolated, and files stored by users in cloud storage may be related in content or other aspects. Not only the files stored in the cloud, but also the files of the users are stored in the cloud, and each file has its corresponding copy. There is also a correlation between copies of the same file. If the user does not delete the other files associated with the file while deleting the file, the dishonest cloud storage provider may restore the user's original file by stealing the associated file, resulting in the disclosure of user information. In order to solve the problem mentioned in the previous paragraph, this paper proposes an association deletion scheme for cloud storage. The main idea of the scheme is that when the user needs to delete the cloud file, the scheme will associate the file content with the file content to be deleted and access the associated file list to the user by analyzing the file content and the behavior of the user operating the cloud file. Let the user decide to delete the list of files, thus assisting the user to achieve the purpose of deterministic deletion. This paper also needs to solve the problem of deterministic data deletion. After deleting the data from the cloud, the user needs to make sure that the cloud store honestly removes the files from the cloud, instead of sending the user a false feedback to delete successfully. In order to solve this problem, we first study the hourglass model. Then, a deterministic deletion scheme based on the hourglass model is proposed to determine the correct coding of cloud files by using the hourglass model.
【學(xué)位授予單位】：電子科技大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TP333

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