KOZÁK, Štěpán, David NOVÁK a Pavel ZEZULA. Secure Metric-Based Index for Similarity Cloud. In Jonker, Willem and Petkovic, Milan. Secure Data Management : Proceedings of 9th VLDB Workshop, SDM 2012, Istanbul, Turkey, August 27, 2012. 7482. vyd. Berlin / Heidelberg: Springer, 2012, s. 130-147. ISBN 978-3-642-32872-5. Dostupné z: https://dx.doi.org/10.1007/978-3-642-32873-2_9. |
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@inproceedings{1067779, author = {Kozák, Štěpán and Novák, David and Zezula, Pavel}, address = {Berlin / Heidelberg}, booktitle = {Secure Data Management : Proceedings of 9th VLDB Workshop, SDM 2012, Istanbul, Turkey, August 27, 2012}, doi = {http://dx.doi.org/10.1007/978-3-642-32873-2_9}, edition = {7482}, editor = {Jonker, Willem and Petkovic, Milan}, keywords = {similarity search; data privacy; cloud computing; data security}, howpublished = {tištěná verze "print"}, language = {eng}, location = {Berlin / Heidelberg}, isbn = {978-3-642-32872-5}, pages = {130-147}, publisher = {Springer}, title = {Secure Metric-Based Index for Similarity Cloud}, url = {http://dx.doi.org/10.1007/978-3-642-32873-2_9}, year = {2012} }
TY - JOUR ID - 1067779 AU - Kozák, Štěpán - Novák, David - Zezula, Pavel PY - 2012 TI - Secure Metric-Based Index for Similarity Cloud PB - Springer CY - Berlin / Heidelberg SN - 9783642328725 KW - similarity search KW - data privacy KW - cloud computing KW - data security UR - http://dx.doi.org/10.1007/978-3-642-32873-2_9 L2 - http://dx.doi.org/10.1007/978-3-642-32873-2_9 N2 - We propose a similarity index that ensures data privacy and thus is suitable for search systems outsourced in a cloud. The proposed solution can exploit existing efficient metric indexes based on a fixed set of reference points. The method has been fully implemented as a security extension of an existing established approach called M-Index. This Encrypted M-Index supports evaluation of standard range and nearest neighbors queries both in precise and approximate manner. In the first part of this work, we analyze various levels of privacy in existing or future similarity search systems; the proposed solution tries to keep a reasonable privacy level while relocating only the necessary amount of work from server to an authorized client. The Encrypted M-Index has been tested on three real data sets with focus on various cost components. ER -
KOZÁK, Štěpán, David NOVÁK a Pavel ZEZULA. Secure Metric-Based Index for Similarity Cloud. In Jonker, Willem and Petkovic, Milan. \textit{Secure Data Management : Proceedings of 9th VLDB Workshop, SDM 2012, Istanbul, Turkey, August 27, 2012}. 7482. vyd. Berlin / Heidelberg: Springer, 2012, s.~130-147. ISBN~978-3-642-32872-5. Dostupné z: https://dx.doi.org/10.1007/978-3-642-32873-2\_{}9.
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