Complex Queries in a Shared Multi User Relational Cloud Database
While DaaS is becoming more and more popular enterprises start considering it as an option to reduce IT maintenance costs. But data privacy and security issues keep most of them from moving to the cloud. Existing schemes of encrypting the database usually either provide a very basic search only and...
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sg-ntu-dr.10356-832192020-03-07T11:48:45Z Complex Queries in a Shared Multi User Relational Cloud Database Sidorov, Vasily Ng, Wee Keong School of Computer Science and Engineering 2013 IEEE Sixth International Conference on Cloud Computing Cloud database security Querying encrypted data While DaaS is becoming more and more popular enterprises start considering it as an option to reduce IT maintenance costs. But data privacy and security issues keep most of them from moving to the cloud. Existing schemes of encrypting the database usually either provide a very basic search only and nothing more or give users more flexibility at a cost of data security. In this paper we try to introduce a highly secure and flexible database encryption scheme allowing multiple users to perform more complex queries, including cross-table joins and still achieve acceptable performance by utilizing database's built-in indexing capabilities. Several dedicated proxy servers in between the user and the database server help to achieve this and make it all transparent for the user. Developed solution shows acceptable performance level in most of the testing cases. Accepted version 2017-05-22T05:06:22Z 2019-12-06T15:14:15Z 2017-05-22T05:06:22Z 2019-12-06T15:14:15Z 2013-06-01 2014 Conference Paper Sidorov, V., & Ng, W. K. (2014). Complex Queries in a Shared Multi User Relational Cloud Database. 2013 IEEE Sixth International Conference on Cloud Computing (CLOUD), 903-909. https://hdl.handle.net/10356/83219 http://hdl.handle.net/10220/42460 10.1109/CLOUD.2013.49 200892 en © 2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: [https://dx.doi.org/10.1109/CLOUD.2013.49]. 7 p. application/pdf |
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Cloud database security Querying encrypted data Sidorov, Vasily Ng, Wee Keong Complex Queries in a Shared Multi User Relational Cloud Database |
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While DaaS is becoming more and more popular enterprises start considering it as an option to reduce IT maintenance costs. But data privacy and security issues keep most of them from moving to the cloud. Existing schemes of encrypting the database usually either provide a very basic search only and nothing more or give users more flexibility at a cost of data security. In this paper we try to introduce a highly secure and flexible database encryption scheme allowing multiple users to perform more complex queries, including cross-table joins and still achieve acceptable performance by utilizing database's built-in indexing capabilities. Several dedicated proxy servers in between the user and the database server help to achieve this and make it all transparent for the user. Developed solution shows acceptable performance level in most of the testing cases. |
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School of Computer Science and Engineering |
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School of Computer Science and Engineering Sidorov, Vasily Ng, Wee Keong |
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Conference or Workshop Item |
author |
Sidorov, Vasily Ng, Wee Keong |
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Sidorov, Vasily |
title |
Complex Queries in a Shared Multi User Relational Cloud Database |
title_short |
Complex Queries in a Shared Multi User Relational Cloud Database |
title_full |
Complex Queries in a Shared Multi User Relational Cloud Database |
title_fullStr |
Complex Queries in a Shared Multi User Relational Cloud Database |
title_full_unstemmed |
Complex Queries in a Shared Multi User Relational Cloud Database |
title_sort |
complex queries in a shared multi user relational cloud database |
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2017 |
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https://hdl.handle.net/10356/83219 http://hdl.handle.net/10220/42460 |
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1681049920385056768 |