{"title":"A Multi Cluster Secure System for Out Sourced Encrypted Data Bases","authors":"","doi":"10.46632/daai/3/2/33","DOIUrl":null,"url":null,"abstract":"Recently, database users have begun to use cloud database services to outsource theirdatabases. The reason for this is the high computation speed and the huge storage capacity thatcloud owners provide at low prices. However, despite the attractiveness of the cloud computingenvironment to database users, privacy issues remain a cause for concern for database ownerssince data access is out of their control. Encryption is the only way of assuaging users' fearssurroundingdataprivacy,butexecutingStructuredQueryLanguage (SQL)queriesoverencrypteddatais achallengingtask,especiallyif the data a re-encryptedby arandomizedencryptionalgorithm. Theexistingsystem, whichisanindexingschemetoencodetheoriginaltable’stuplesinto bit vectors (BVs) prior to the encryption. The resulting index is then usedto narrow therange of retrieved encrypted records from the cloud to a small set of records that are candidatesfor the user's query. Based on the indexing scheme, the designed system is used to execute SQLqueries over the encrypted data. The data are encrypted by a single randomized encryptionalgorithm,namely theAdvanced Encryption Standard-Cipher-Block Chaining (AES-CBC). Inthe existing scheme, theindex values (BVs) are stored atuser's side, and which is supportedmostof relational algebra operators, such as select, join,etc. In the existing system,the clouddata server is able to extract the ratio of two underlying data records, and key management servercandecryptthe ciphertextsofowners’data records,whichbreakthe privacysecurity.","PeriodicalId":226827,"journal":{"name":"Data Analytics and Artificial Intelligence","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Data Analytics and Artificial Intelligence","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.46632/daai/3/2/33","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Recently, database users have begun to use cloud database services to outsource theirdatabases. The reason for this is the high computation speed and the huge storage capacity thatcloud owners provide at low prices. However, despite the attractiveness of the cloud computingenvironment to database users, privacy issues remain a cause for concern for database ownerssince data access is out of their control. Encryption is the only way of assuaging users' fearssurroundingdataprivacy,butexecutingStructuredQueryLanguage (SQL)queriesoverencrypteddatais achallengingtask,especiallyif the data a re-encryptedby arandomizedencryptionalgorithm. Theexistingsystem, whichisanindexingschemetoencodetheoriginaltable’stuplesinto bit vectors (BVs) prior to the encryption. The resulting index is then usedto narrow therange of retrieved encrypted records from the cloud to a small set of records that are candidatesfor the user's query. Based on the indexing scheme, the designed system is used to execute SQLqueries over the encrypted data. The data are encrypted by a single randomized encryptionalgorithm,namely theAdvanced Encryption Standard-Cipher-Block Chaining (AES-CBC). Inthe existing scheme, theindex values (BVs) are stored atuser's side, and which is supportedmostof relational algebra operators, such as select, join,etc. In the existing system,the clouddata server is able to extract the ratio of two underlying data records, and key management servercandecryptthe ciphertextsofowners’data records,whichbreakthe privacysecurity.