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  1. Proceedings of the 2013 ACM workshop on Cloud computing security workshop (CCSW '13)
  2. Structural cloud audits that protect private information
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A versatile code execution isolation framework with security first
Authenticated storage using small trusted hardware
On the (Im)possibility of privately outsourcing linear programming
Structural cloud audits that protect private information
An architecture for concurrent execution of secure environments in clouds
CloudSweeper: enabling data-centric document management for secure cloud archives
Secure pattern matching using somewhat homomorphic encryption
Cloudoscopy: services discovery and topology mapping
Generalized external interaction with tamper-resistant hardware with bounded information leakage
Supporting complex queries and access policies for multi-user encrypted databases
Beyond the ideal object: towards disclosure-resilient order-preserving encryption schemes

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Structural cloud audits that protect private information

Content Provider ACM Digital Library
Author Ford, Bryan Xiao, Hongda Feigenbaum, Joan
Abstract As organizations and individuals have begun to rely more and more heavily on cloud-service providers for critical tasks, cloud-service reliability has become a top priority. It is natural for cloud-service providers to use redundancy to achieve reliability. For example, a provider may replicate critical state in two data centers. If the two data centers use the same power supply, however, then a power outage will cause them to fail simultaneously; replication per se does not, therefore, enable the cloud-service provider to make strong reliability guarantees to its users. Zhai et al.[socc-submission] present a system, which they refer to as a structural-reliability auditor (SRA), that uncovers common dependencies in seemingly disjoint cloud-in\-fra\-struc\-tu\-ral components (such as the power supply in the example above) and quantifies the risks that they pose. In this paper, we focus on the need for structural-reliability auditing to be done in a privacy-preserving manner. We present a privacy-preserving structural-reliability auditor (P-SRA), discuss its privacy properties, and evaluate a prototype implementation built on the Sharemind SecreC platform[SecreC]. P-SRA is an interesting application of secure multi-party computation (SMPC), which has not often been used for graph problems. It can achieve acceptable running times even on large cloud structures by using a novel data-partitioning technique that may be useful in other applications of SMPC.
Starting Page 101
Ending Page 112
Page Count 12
File Format PDF
ISBN 9781450324908
DOI 10.1145/2517488.2517493
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2013-11-08
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Cloud auditing Secure multi-party computation
Content Type Text
Resource Type Article
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