【摘要】：為了將硬件和軟件等計(jì)算機(jī)資源也能像水和電一樣,只需要支付少許“資金”就可以源源不斷地使用,云計(jì)算適時(shí)而生。云計(jì)算改變了人們對(duì)軟硬件的傳統(tǒng)使用模式,規(guī)避了應(yīng)用程序安裝和硬件設(shè)施維護(hù)等繁瑣過(guò)程,做到了真正意義上的計(jì)算機(jī)資源服務(wù)直接使用。它滿足了大數(shù)據(jù)時(shí)代下,對(duì)數(shù)據(jù)計(jì)算和存儲(chǔ)的高要求。云存儲(chǔ)由云計(jì)算發(fā)展而來(lái),其核心點(diǎn)是對(duì)數(shù)據(jù)的存儲(chǔ)。相比傳統(tǒng)存儲(chǔ),云存儲(chǔ)擁有非常好的容錯(cuò)性及可擴(kuò)展性,能夠解決數(shù)據(jù)的海量存儲(chǔ),只要有網(wǎng)絡(luò),用戶訪問(wèn)云中的數(shù)據(jù)可不分時(shí)間和地點(diǎn)。然而,由于云存儲(chǔ)中對(duì)于分布在不同地理位置的云服務(wù)器具有分布式的特點(diǎn),導(dǎo)致數(shù)據(jù)存儲(chǔ)位置不確定性,會(huì)給用戶云端數(shù)據(jù)安全帶來(lái)存儲(chǔ)隱患。另外,HDFS因大數(shù)據(jù)存儲(chǔ)而生,對(duì)大量小文件的存儲(chǔ)不可避免會(huì)造成空間上的浪費(fèi)。針對(duì)上述存在問(wèn)題,本文主要做了如下工作:(1)本文提出一種加密檢索方法,對(duì)用戶敏感數(shù)據(jù)進(jìn)行加密存儲(chǔ),利用MD5加密文件名生成的信息摘要構(gòu)成索引,提供信息摘要檢索密文文件,明文數(shù)據(jù)利用改進(jìn)的DES算法進(jìn)行本地加解密。解決了用戶敏感數(shù)據(jù)安全存儲(chǔ)隱憂,密文文件檢索困難等問(wèn)題。(2)本文利用HDFS作為數(shù)據(jù)存儲(chǔ)端,以瀏覽器/服務(wù)器模式實(shí)現(xiàn)云存儲(chǔ)系統(tǒng)。系統(tǒng)提供了用戶注冊(cè)、賬戶管理、空間和文件的管理、文件上傳與下載、文件搜索、數(shù)據(jù)備份等系列功能。云存儲(chǔ)用戶本身需要存儲(chǔ)許多小文件,為了不影響用戶的使用體驗(yàn),又能夠盡量降低存儲(chǔ)空間上的浪費(fèi),增加小文件合并上傳模式,在小文件問(wèn)題上做一個(gè)折中,用戶可以選擇性的將某些不常用的小文件進(jìn)行合并上傳。本文設(shè)計(jì)和實(shí)現(xiàn)了基于HDFS和加密檢索的云存儲(chǔ)系統(tǒng)。能有效滿足用戶對(duì)數(shù)據(jù)存儲(chǔ)的基本需求,結(jié)合加密檢索方法,實(shí)現(xiàn)用戶敏感數(shù)據(jù)的安全存儲(chǔ)和有效檢索。并且用戶可以選擇性地對(duì)小文件合并上傳,提高存儲(chǔ)空間利用率。
[Abstract]:In order to make computer resources such as hardware and software as well as water and electricity, only a small amount of "money" can be paid to continue to use, cloud computing is timely. Cloud computing has changed the traditional usage mode of software and hardware, avoided the tedious process of application installation and hardware facilities maintenance, and achieved the direct use of computer resource services in the real sense. It meets the big data era, the high demand for data computing and storage. Cloud storage comes from cloud computing, and its core point is the storage of data. Compared with traditional storage, cloud storage has a very good fault tolerance and scalability, can solve the massive storage of data, as long as there is a network, users can access the data in the cloud regardless of time and place. However, due to the distributed characteristics of cloud servers distributed in different geographical locations in cloud storage, the uncertainty of data storage location leads to storage hidden trouble for users' cloud data security. In addition, HDFS due to big data storage, the storage of a large number of small files will inevitably cause a waste of space. In view of the above problems, the main work of this paper is as follows: (1) this paper proposes an encryption retrieval method, which encrypts and stores sensitive user data, and uses MD5 to encrypt the information digest generated by the filename to form an index. Provides the information summary retrieval ciphertext file, plaintext data using the improved DES algorithm for local encryption and decryption. It solves the problems of security storage of user sensitive data and difficulty of searching ciphertext files. (2) this paper uses HDFS as data storage terminal and implements cloud storage system in browser / server mode. The system provides user registration, account management, space and file management, file upload and download, file search, data backup and other functions. Cloud storage users themselves need to store many small files, in order not to affect the user's use experience, but also to minimize the waste of storage space, increase the small file merge upload mode, make a compromise on the small file problem, Users can optionally merge and upload small, infrequent files. This paper designs and implements a cloud storage system based on HDFS and encryption retrieval. It can effectively meet the basic needs of users for data storage, combined with encryption retrieval method, to achieve the safe storage and effective retrieval of user sensitive data. And users can selectively merge and upload small files to improve storage space utilization.
【學(xué)位授予單位】：東華理工大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TP333;TP309

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本文編號(hào)：2377130