Privacy Preserving Mapping Schemes Supporting Comparison

Qiang Tang

doi:10.1145/1866835.1866846

Privacy Preserving Mapping Schemes Supporting Comparison

Qiang Tang

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

16 Citations (Scopus)

72 Downloads (Pure)

Abstract

To cater to the privacy requirements in cloud computing, we introduce a new primitive, namely Privacy Preserving Mapping (PPM) schemes supporting comparison. An PPM scheme enables a user to map data items into images in such a way that, with a set of images, any entity can determine the <, =, > relationships among the corresponding data items. We propose three privacy notions, namely ideal privacy, level-1 privacy, and level-2 privacy, and three constructions satisfying these privacy notions respectively.

Original language	Undefined
Title of host publication	ACM Cloud Computing Security Workshop (CCSW)
Place of Publication	New York
Publisher	Association for Computing Machinery
Pages	53-58
Number of pages	6
ISBN (Print)	978-1-4503-0089-6
DOIs	https://doi.org/10.1145/1866835.1866846
Publication status	Published - Oct 2010
Event	ACM Cloud Computing Security Workshop, CCSW 2010 - Chicago, Illinois Duration: 9 Oct 2010 → 9 Oct 2010

Publication series

Name
Publisher	ACM

Workshop

Workshop	ACM Cloud Computing Security Workshop, CCSW 2010
Period	9/10/10 → 9/10/10
Other	9 oct 2010

Keywords

METIS-277476
Cloud computing
IR-75364
EWI-19183
Privacy
SCS-Cybersecurity
secure 2-party computation

Access to Document

10.1145/1866835.1866846

comparison

Cite this

@inproceedings{fdd3ed14854f4ffa842149c689450ae3,

title = "Privacy Preserving Mapping Schemes Supporting Comparison",

abstract = "To cater to the privacy requirements in cloud computing, we introduce a new primitive, namely Privacy Preserving Mapping (PPM) schemes supporting comparison. An PPM scheme enables a user to map data items into images in such a way that, with a set of images, any entity can determine the <, =, > relationships among the corresponding data items. We propose three privacy notions, namely ideal privacy, level-1 privacy, and level-2 privacy, and three constructions satisfying these privacy notions respectively.",

keywords = "METIS-277476, Cloud computing, IR-75364, EWI-19183, Privacy, SCS-Cybersecurity, secure 2-party computation",

author = "Qiang Tang",

note = "10.1145/1866835.1866846 ; ACM Cloud Computing Security Workshop, CCSW 2010 ; Conference date: 09-10-2010 Through 09-10-2010",

year = "2010",

month = oct,

doi = "10.1145/1866835.1866846",

language = "Undefined",

isbn = "978-1-4503-0089-6",

publisher = "Association for Computing Machinery",

pages = "53--58",

booktitle = "ACM Cloud Computing Security Workshop (CCSW)",

}

TY - GEN

T1 - Privacy Preserving Mapping Schemes Supporting Comparison

AU - Tang, Qiang

N1 - 10.1145/1866835.1866846

PY - 2010/10

Y1 - 2010/10

N2 - To cater to the privacy requirements in cloud computing, we introduce a new primitive, namely Privacy Preserving Mapping (PPM) schemes supporting comparison. An PPM scheme enables a user to map data items into images in such a way that, with a set of images, any entity can determine the <, =, > relationships among the corresponding data items. We propose three privacy notions, namely ideal privacy, level-1 privacy, and level-2 privacy, and three constructions satisfying these privacy notions respectively.

AB - To cater to the privacy requirements in cloud computing, we introduce a new primitive, namely Privacy Preserving Mapping (PPM) schemes supporting comparison. An PPM scheme enables a user to map data items into images in such a way that, with a set of images, any entity can determine the <, =, > relationships among the corresponding data items. We propose three privacy notions, namely ideal privacy, level-1 privacy, and level-2 privacy, and three constructions satisfying these privacy notions respectively.

KW - METIS-277476

KW - Cloud computing

KW - IR-75364

KW - EWI-19183

KW - Privacy

KW - SCS-Cybersecurity

KW - secure 2-party computation

U2 - 10.1145/1866835.1866846

DO - 10.1145/1866835.1866846

M3 - Conference contribution

SN - 978-1-4503-0089-6

SP - 53

EP - 58

BT - ACM Cloud Computing Security Workshop (CCSW)

PB - Association for Computing Machinery

CY - New York

T2 - ACM Cloud Computing Security Workshop, CCSW 2010

Y2 - 9 October 2010 through 9 October 2010

ER -