面向產(chǎn)業(yè)鏈協(xié)同SaaS平臺(tái)的業(yè)務(wù)數(shù)據(jù)加密及檢索技術(shù)研究
發(fā)布時(shí)間:2018-02-26 00:36
本文關(guān)鍵詞: 產(chǎn)業(yè)鏈協(xié)同 Saas 密文檢索 自建索引 兩階段查詢 出處:《西南交通大學(xué)》2015年碩士論文 論文類型:學(xué)位論文
【摘要】:產(chǎn)業(yè)鏈協(xié)同SaaS (Software as Service)平臺(tái)是一個(gè)主要面向中小型制造業(yè)的第三方服務(wù)平臺(tái),為眾多的以制造業(yè)企業(yè)為龍頭與眾多協(xié)作供應(yīng)商、經(jīng)銷商、維修服務(wù)商形成的企業(yè)聯(lián)盟提供多種服務(wù)。各個(gè)聯(lián)盟中的企業(yè)成員使用平臺(tái)進(jìn)行業(yè)務(wù)協(xié)同和數(shù)據(jù)查詢,同時(shí)平臺(tái)與各個(gè)制造廠的內(nèi)部ERP(Enterprise Resource Planning企業(yè)資源管理系統(tǒng))系統(tǒng)之間進(jìn)行無縫集成,讓各個(gè)企業(yè)成員能夠在各自的內(nèi)部系統(tǒng)中對(duì)業(yè)務(wù)進(jìn)行進(jìn)一步的處理。平臺(tái)用戶在產(chǎn)業(yè)鏈協(xié)同SaaS平臺(tái)上進(jìn)行業(yè)務(wù)操作時(shí),會(huì)產(chǎn)生大量業(yè)務(wù)數(shù)據(jù),比如采購訂單信息、車輛售后服務(wù)數(shù)據(jù)等,這些信息會(huì)先存儲(chǔ)在平臺(tái)的數(shù)據(jù)庫中,然后通過數(shù)據(jù)交換將新產(chǎn)生的數(shù)據(jù)傳遞到各個(gè)企業(yè)的內(nèi)部系統(tǒng)中。數(shù)據(jù)存儲(chǔ)在平臺(tái)數(shù)據(jù)庫時(shí),對(duì)于企業(yè)而言就具有一定的數(shù)據(jù)安全隱患,因?yàn)槠渲幸恍⿺?shù)據(jù)是比較重要的,不能夠被其他個(gè)體獲取。為滿足用戶的需求,平臺(tái)需要對(duì)這些重要數(shù)據(jù)提供機(jī)密性保護(hù),最安全最常用的措施就是采用加密存儲(chǔ)方式,但加密的數(shù)據(jù)又會(huì)造成數(shù)據(jù)檢索的不便。針對(duì)產(chǎn)業(yè)鏈協(xié)同SaaS平臺(tái)中數(shù)據(jù)的加密及檢索需求,并結(jié)合多租戶關(guān)聯(lián)的平臺(tái)業(yè)務(wù)數(shù)據(jù)加密定制方案,本文提出了一種面向產(chǎn)業(yè)鏈協(xié)同SaaS平臺(tái)的密文檢索方案。該方案采用自建索引機(jī)制、兩階段查詢方法,通過字符串鄰接信息生成算法對(duì)字符型敏感字段明文建立索引信息,通過保序加密算法OPES (Order Preserving Encryption Scheme)對(duì)數(shù)值型敏感信息明文建立索引信息。索引中記錄了敏感字段的位置信息。檢索時(shí)先通過索引表獲取敏感信息的查詢結(jié)果初集,然后再進(jìn)行第二階段查詢,將查詢結(jié)果中的誤檢信息剔除,通過該方法實(shí)現(xiàn)少量解密就可以獲取正確的查詢結(jié)果。該方法目前已在KM售后服務(wù)系統(tǒng)與NJSC零部件采購系統(tǒng)中進(jìn)行了應(yīng)用驗(yàn)證,能夠?yàn)橛脩籼峁┩该骱蜏?zhǔn)確的檢索支持。
[Abstract]:The industry chain collaboration SaaS Software as Service platform is a third party service platform for small and medium-sized manufacturing enterprises, which is the leading supplier and distributor of manufacturing enterprises. The enterprise alliance formed by the maintenance service provider provides a variety of services. The enterprise members in each alliance use the platform for business collaboration and data query. At the same time, the platform integrates seamlessly with the internal ERP(Enterprise Resource Planning enterprise resource management system of each manufacturer. The platform users will produce a large amount of business data, such as purchase order information, when they operate on the industrial chain collaborative SaaS platform. The information is stored in the database of the platform, and then the newly generated data is transferred to the internal system of each enterprise through the exchange of data. When the data is stored in the database of the platform, Because some of the data are important and can not be obtained by other individuals. In order to meet the needs of users, the platform needs to provide confidential protection to these important data. The most secure and commonly used measure is to use encryption storage method, but the encrypted data will cause the inconvenience of data retrieval. In view of the data encryption and retrieval requirements in the industrial chain collaborative SaaS platform, Combined with the multi-tenant associated platform data encryption and customization scheme, this paper proposes a ciphertext retrieval scheme for industry chain collaborative SaaS platform, which adopts self-built indexing mechanism and two-stage query method. The character sensitive fields are indexed by string adjacency information generation algorithm. In this paper, the index information of numeric sensitive information is established by OPES order Preserving Encryption Schema. The location information of sensitive field is recorded in the index. The first set of query results of sensitive information is obtained by index table. Then the second stage of the query is carried out to remove the misinformation from the result of the query. The method has been applied to km after-sales service system and NJSC parts purchasing system, which can provide users with transparent and accurate retrieval support.
【學(xué)位授予單位】:西南交通大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2015
【分類號(hào)】:TP311.13;TP309
【參考文獻(xiàn)】
相關(guān)期刊論文 前4條
1 楚志凱;呂秀平;路曉亞;;SQL Server的數(shù)據(jù)庫加密技術(shù)的研究與實(shí)現(xiàn)[J];電腦學(xué)習(xí);2010年01期
2 蔡克;張敏;馮登國;;基于單斷言的安全的密文區(qū)間檢索[J];計(jì)算機(jī)學(xué)報(bào);2011年11期
3 魏占禎;楊亞濤;陳志偉;;RSA乘法同態(tài)的數(shù)據(jù)庫密文檢索實(shí)現(xiàn)[J];哈爾濱工程大學(xué)學(xué)報(bào);2013年05期
4 肖慶;王淑營;;面向產(chǎn)業(yè)鏈協(xié)同SaaS平臺(tái)的多租戶數(shù)據(jù)加密配置技術(shù)研究[J];計(jì)算機(jī)應(yīng)用研究;2015年07期
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