Challenges of Privacy-Preserving OLAP Techniques

被引:0
作者
Gorlatykh, Andrey V. [1 ]
Zapechnikov, Sergey V. [1 ]
机构
[1] Natl Res Nucl Univ MEPhI, Moscow Engn Phys Inst, Dept Cryptol & Cybersecur, Moscow, Russia
来源
PROCEEDINGS OF THE 2017 IEEE RUSSIA SECTION YOUNG RESEARCHERS IN ELECTRICAL AND ELECTRONIC ENGINEERING CONFERENCE (2017 ELCONRUS) | 2017年
关键词
On-line Analytical Processing (OLAP); information security; privacy; partly homomorphic encryption;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Over the last five years, on-line analytical processing (OLAP) became one of the essential information processing technologies. OLAP technology has been successfully used in different areas: retail, financial services, telecommunication, health care etc. Because of this security of data stored in Data Warehouses became one of the most important aspect of this technology, especially when we speaking about data privacy. We review existing privacy-preserving OLAP techniques and identify new challenges of this technology. In particular, OLAP databases are placed often in the untrusted clouds, so it is crucial to create techniques for evaluating widely used statistical functions (mean value, standard deviation, minimum, maximum, and so on) over the encrypted data. For this purpose, we review and compare encryption schemes with special features (partly homomorphic, order-preserving, deterministic etc.) and suggest architecture of application for private OLAP over the encrypted database.
引用
收藏
页码:404 / 408
页数:5
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