云存儲密文全文檢索技術(shù)研究
發(fā)布時間:2018-08-31 08:38
【摘要】:隨著云計(jì)算高速發(fā)展,,云存儲作為云計(jì)算中的重要應(yīng)用,因其服務(wù)費(fèi)用低廉、使用方便、擴(kuò)展性強(qiáng)等特點(diǎn)已經(jīng)逐漸普及并成為普通用戶最常使用的服務(wù)。各大商業(yè)機(jī)構(gòu)均看到了這方面的發(fā)展前景,百度、騰訊等公司紛紛推出自己的大容量云存儲服務(wù)。隨之而來的安全問題也日益凸顯,由于提供服務(wù)的第三方供應(yīng)商并不完全可信,用戶信息需以密文的形式存儲供應(yīng)商服務(wù)器端。當(dāng)文檔形成一定規(guī)模后,對信息進(jìn)行檢索成為了用戶的迫切需求。密文檢索同時保證了數(shù)據(jù)安全,實(shí)現(xiàn)了對需要信息的快速獲取?梢,對密文檢索進(jìn)行研究具有重要意義。 然而,現(xiàn)在的技術(shù)大多是針對數(shù)據(jù)庫的密文檢索策略,而云存儲下的密文檢索由于數(shù)據(jù)保存位置的不同,需要采用同傳統(tǒng)數(shù)據(jù)庫不同的安全策略。并且第三方供應(yīng)商通過Internet提供的云存儲服務(wù)中,傳輸和查詢效率受網(wǎng)絡(luò)條件限制,所以需要平衡安全性和效率。 本文在獲得了一定的理論基礎(chǔ)之后,針對目前技術(shù)存在的不足,提出相關(guān)核心技術(shù)的優(yōu)化,在提高了安全性的同時,保證了檢索效率。主要工作包括: (1)對文本進(jìn)行加密過程中,為了抵御統(tǒng)計(jì)分析攻擊,本文對傳統(tǒng)加密方式進(jìn)行了改進(jìn),結(jié)合索引關(guān)鍵詞的特點(diǎn),對索引詞采用特殊的保密方法; (2)為了解決常用散列算法安全上的缺陷,提出一種多重散列算法,以抵御反向攻擊,提高系統(tǒng)的安全性; (3)根據(jù)實(shí)際需求,根據(jù)全新的安全策略,設(shè)計(jì)并實(shí)現(xiàn)了密文全文檢索系統(tǒng),進(jìn)行了性能測試。 通過安全性分析,系統(tǒng)可以抵御云存儲下常見的攻擊,同時通過對系統(tǒng)性能的測試,表明系統(tǒng)在滿足了安全性的同時,擁有較高的檢索效率。
[Abstract]:With the rapid development of cloud computing, cloud storage, as an important application in cloud computing, has become the most commonly used service for ordinary users because of its low cost, convenient use and strong expansibility. Major commercial organizations have seen the development of this aspect of the prospects, Baidu, Tencent and other companies have launched their own large capacity cloud storage services. As the third party provider is not completely trusted, the user information should be stored in the form of ciphertext. When the document is formed on a certain scale, the retrieval of information becomes the urgent need of users. Ciphertext retrieval also ensures the security of the data and realizes the fast acquisition of the information needed. Therefore, it is of great significance to study ciphertext retrieval. However, most of the current technologies are based on the ciphertext retrieval strategy of database. However, the ciphertext retrieval under cloud storage needs to adopt different security policies compared with traditional database because of the difference of data storage location. In cloud storage services provided by third-party providers through Internet, the transmission and query efficiency is limited by network conditions, so it is necessary to balance security and efficiency. In this paper, after obtaining a certain theoretical basis, aiming at the shortcomings of the current technology, the optimization of related core technologies is proposed, which not only improves the security, but also ensures the retrieval efficiency. The main work includes: (1) in order to resist the attack of statistical analysis in the process of text encryption, this paper improves the traditional encryption method, combines the characteristics of index keywords, adopts a special security method for index words; (2) in order to solve the security defects of common hash algorithms, a multi-hashing algorithm is proposed to resist the reverse attack and improve the security of the system. (3) according to the actual requirements, according to the new security strategy, A ciphertext full-text retrieval system is designed and implemented, and its performance is tested. Through security analysis, the system can resist common attacks under cloud storage, and by testing the system performance, it shows that the system not only meets the security, but also has a higher retrieval efficiency.
【學(xué)位授予單位】:哈爾濱工業(yè)大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2013
【分類號】:TP333
本文編號:2214471
[Abstract]:With the rapid development of cloud computing, cloud storage, as an important application in cloud computing, has become the most commonly used service for ordinary users because of its low cost, convenient use and strong expansibility. Major commercial organizations have seen the development of this aspect of the prospects, Baidu, Tencent and other companies have launched their own large capacity cloud storage services. As the third party provider is not completely trusted, the user information should be stored in the form of ciphertext. When the document is formed on a certain scale, the retrieval of information becomes the urgent need of users. Ciphertext retrieval also ensures the security of the data and realizes the fast acquisition of the information needed. Therefore, it is of great significance to study ciphertext retrieval. However, most of the current technologies are based on the ciphertext retrieval strategy of database. However, the ciphertext retrieval under cloud storage needs to adopt different security policies compared with traditional database because of the difference of data storage location. In cloud storage services provided by third-party providers through Internet, the transmission and query efficiency is limited by network conditions, so it is necessary to balance security and efficiency. In this paper, after obtaining a certain theoretical basis, aiming at the shortcomings of the current technology, the optimization of related core technologies is proposed, which not only improves the security, but also ensures the retrieval efficiency. The main work includes: (1) in order to resist the attack of statistical analysis in the process of text encryption, this paper improves the traditional encryption method, combines the characteristics of index keywords, adopts a special security method for index words; (2) in order to solve the security defects of common hash algorithms, a multi-hashing algorithm is proposed to resist the reverse attack and improve the security of the system. (3) according to the actual requirements, according to the new security strategy, A ciphertext full-text retrieval system is designed and implemented, and its performance is tested. Through security analysis, the system can resist common attacks under cloud storage, and by testing the system performance, it shows that the system not only meets the security, but also has a higher retrieval efficiency.
【學(xué)位授予單位】:哈爾濱工業(yè)大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2013
【分類號】:TP333
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