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  1. Proceedings of the 2010 ACM workshop on Cloud computing security workshop (CCSW '10)
  2. Privacy preserving mapping schemes supporting comparison
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Authentication in the clouds: a framework and its application to mobile users
Venus: verification for untrusted cloud storage
Privacy preserving EHR system using attribute-based infrastructure
A new form of DOS attack in a cloud and its avoidance mechanism
First principles vulnerability assessment
Content oriented virtual domains for secure information sharing across organizations
Remote data checking for network coding-based distributed storage systems
Privacy preserving mapping schemes supporting comparison
Towards incident handling in the cloud: challenges and approaches
Security audits of multi-tier virtual infrastructures in public infrastructure clouds
Towards a discipline of mission-aware cloud computing
Seeding clouds with trust anchors
HengHa: data harvesting detection on hidden databases
Determinating timing channels in compute clouds

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Privacy preserving mapping schemes supporting comparison

Content Provider ACM Digital Library
Author Tang, Qiang
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.
Starting Page 53
Ending Page 58
Page Count 6
File Format PDF
ISBN 9781450300896
DOI 10.1145/1866835.1866846
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2010-10-08
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Cloud computing Privacy Secure 2-party computation
Content Type Text
Resource Type Article
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