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TrustedDW: A New Framework to Securely Hosting Data Warehouse in the Cloud

10 pagesPublished: March 13, 2019

Abstract

Nowadays cloud computing become the most popular technology in the area of IT industry. It provides computing power, storage, network and software as a service. While building, a data warehouse typically necessitates an important initial investment. With the cloud pay-as-you-go model, BI system can benefit from this new technology. But, as every new technology, cloud computing brings its own risks in term of security. Because some security issues are inherited from classical architectures, some traditional security solutions are used to protect outsourced data. Unfortunately, those solutions are not enough and cannot guarantee the privacy of sensitive data hosted in the Cloud. In particular, in the case of data warehouse, using traditional encryption solutions cannot be practical because those solutions induce a heavy overhead in terms of data storage and query performance. So, a suitable schema must be proposed in order to balance the security and the performance of data warehouse hosted in the cloud. In this paper, we propose (TrustedDW) a homomorphic encryption schema for securing and querying a data warehouse hosted in the cloud.

Keyphrases: cloud computing, data warehouse, integrity, security

In: Gordon Lee and Ying Jin (editors). Proceedings of 34th International Conference on Computers and Their Applications, vol 58, pages 397-406.

BibTeX entry
@inproceedings{CATA2019:TrustedDW_New_Framework_Securely,
  author    = {Kawthar Karkouda and Ahlem Nabli and Faiez Gargouri},
  title     = {TrustedDW: A New Framework to Securely Hosting Data Warehouse in the Cloud},
  booktitle = {Proceedings of 34th International Conference on Computers and Their Applications},
  editor    = {Gordon Lee and Ying Jin},
  series    = {EPiC Series in Computing},
  volume    = {58},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2398-7340},
  url       = {/publications/paper/H1zg},
  doi       = {10.29007/q3wd},
  pages     = {397-406},
  year      = {2019}}
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