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Research on Text Data Integrity Detection Scheme in the Outsourced Database Model

Author: ZhaoChunHong
Tutor: LiuGuoHua
School: Yanshan University
Course: Applied Computer Technology
Keywords: Outsourcing database Text data Data integrity Chinese word segmentation Segmentation Dictionary
CLC: TP391.1
Type: Master's thesis
Year: 2010
Downloads: 41
Quote: 0
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Abstract


Database service outsourcing in recent years, the rise of a new kind of database application mode . Data integrity testing of the outsourced database model in order to prevent tampering with of outsourcing database providers internal and external database content queries to obtain the correct query results as a means of . The integrity of the existing detection methods are structured data in the relational database for the text of this unstructured data is still not forming solutions . In order to improve the integrity of the outsourced database model data detection technology , a digital fingerprint of text data integrity testing program . First, the basic working principle of the outsourced database model to analyze the advantages and disadvantages of the existing data integrity detection technology and outsourcing database specific security mechanisms , and expounded the Chinese word related technology , and the main problem . Secondly, in order to meet to improve sub- term rate of urgent needs , according to the Chinese into words characteristics , the establishment of a new dictionary mechanism put forward the application of divide-and-conquer strategy of the Chinese sub- word method , and the use of statistical techniques to solve Chinese word segmentation widely existence of crossing ambiguity segmentation problem . Again , through the analysis of text data using the Karp-Rabin algorithm thinking , a digital fingerprint extraction method of the text data , on the basis of the method , a digital fingerprint of text data integrity testing program , the program can detect not only the integrity of the text data , and can also for precise positioning of the location of the data has been tampered with . Then given two fingerprint management solutions for client and server-side security analysis , and expounded the secret text data in the above two cases , and open text data integrity testing program . Finally, the theoretical analysis was carried out on the above segmentation methods and the text data integrity detection algorithm , and verified through experiments on the correctness and validity of the proposed method .

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Text Processing
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