Enhancing the performance of spatial queries on encrypted data through graph embedding

Sina Shaham; Gabriel Ghinita; Cyrus Shahabi

doi:10.1007/978-3-030-49669-2_17

Enhancing the performance of spatial queries on encrypted data through graph embedding

Sina Shaham
, Gabriel Ghinita
, Cyrus Shahabi

Computer Science

University of Southern California

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	Data and Applications Security and Privacy - 34th Annual IFIP WG 11.3 Conference, DBSec 2020, Proceedings
Editors	Anoop Singhal, Jaideep Vaidya
Publisher	Springer
Pages	289-309
Number of pages	21
ISBN (Print)	9783030496685
DOIs	https://doi.org/10.1007/978-3-030-49669-2_17
State	Published - 2020
Event	34th Annual IFIP WG11.3 Conference on Data and Applications Security and Privacy, DBSec 2020 - Regensburg, Germany Duration: Jun 25 2020 → Jun 26 2020

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	12122 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	34th Annual IFIP WG11.3 Conference on Data and Applications Security and Privacy, DBSec 2020
Country/Territory	Germany
City	Regensburg
Period	6/25/20 → 6/26/20

ASJC Scopus Subject Areas

Theoretical Computer Science
General Computer Science

Keywords

Graph embedding
Hidden Vector Encryption

Access to Document

10.1007/978-3-030-49669-2_17

Cite this

Shaham, S., Ghinita, G., & Shahabi, C. (2020). Enhancing the performance of spatial queries on encrypted data through graph embedding. In A. Singhal, & J. Vaidya (Eds.), Data and Applications Security and Privacy - 34th Annual IFIP WG 11.3 Conference, DBSec 2020, Proceedings (pp. 289-309). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12122 LNCS). Springer. https://doi.org/10.1007/978-3-030-49669-2_17

Enhancing the performance of spatial queries on encrypted data through graph embedding. / Shaham, Sina; Ghinita, Gabriel; Shahabi, Cyrus.
Data and Applications Security and Privacy - 34th Annual IFIP WG 11.3 Conference, DBSec 2020, Proceedings. ed. / Anoop Singhal; Jaideep Vaidya. Springer, 2020. p. 289-309 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12122 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Shaham, S, Ghinita, G & Shahabi, C 2020, Enhancing the performance of spatial queries on encrypted data through graph embedding. in A Singhal & J Vaidya (eds), Data and Applications Security and Privacy - 34th Annual IFIP WG 11.3 Conference, DBSec 2020, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12122 LNCS, Springer, pp. 289-309, 34th Annual IFIP WG11.3 Conference on Data and Applications Security and Privacy, DBSec 2020, Regensburg, Germany, 6/25/20. https://doi.org/10.1007/978-3-030-49669-2_17

Shaham S, Ghinita G, Shahabi C. Enhancing the performance of spatial queries on encrypted data through graph embedding. In Singhal A, Vaidya J, editors, Data and Applications Security and Privacy - 34th Annual IFIP WG 11.3 Conference, DBSec 2020, Proceedings. Springer. 2020. p. 289-309. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-49669-2_17

Shaham, Sina ; Ghinita, Gabriel ; Shahabi, Cyrus. / Enhancing the performance of spatial queries on encrypted data through graph embedding. Data and Applications Security and Privacy - 34th Annual IFIP WG 11.3 Conference, DBSec 2020, Proceedings. editor / Anoop Singhal ; Jaideep Vaidya. Springer, 2020. pp. 289-309 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Enhancing the performance of spatial queries on encrypted data through graph embedding

Publication series

Conference

ASJC Scopus Subject Areas

Keywords

Access to Document

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