An association probability based noise generation strategy for privacy protection in cloud computing

Gaofeng Zhang*, Xuyun Zhang, Yun Yang, Chang Liu, Jinjun Chen

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

4 Citations (Scopus)

Abstract

Cloud computing allows customers to utilise IT services in a pay-asyou- go fashion to save huge cost on IT infrastructure. In open cloud, 'malicious' service providers could record service data from a cloud customer and collectively deduce the customer's privacy without the customer's permission. Accordingly, customers need to take certain actions to protect their privacy automatically at client sides, such as noise obfuscation. For instance, it can generate and inject noise service requests into real ones so that service providers are hard to distinguish which ones are real. Existing noise obfuscations focus on concealing occurrence probabilities of service requests. But in reality, association probabilities of service requests can also reveal customer privacy. So, we present a novel association probability based noise generation strategy by concealing these association probabilities. The simulation comparison demonstrates that this strategy can improve the effectiveness of privacy protection significantly from the perspective of association probability.

Original languageEnglish
Title of host publicationService-Oriented Computing
Subtitle of host publication10th International Conference, ICSOC 2012, Proceedings
EditorsChengfei Liu, Heiko Ludwig, Farouk Toumani, Qi Yu
Place of PublicationBerlin
PublisherSpringer
Pages639-647
Number of pages9
ISBN (Electronic)9783642342316
ISBN (Print)9783642343209
DOIs
Publication statusPublished - 9 Nov 2012
Externally publishedYes
Event10th International Conference on Service-Oriented Computing, ICSOC 2012 - Shanghai, China
Duration: 12 Nov 201215 Nov 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7636 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference10th International Conference on Service-Oriented Computing, ICSOC 2012
CountryChina
CityShanghai
Period12/11/1215/11/12

Keywords

  • Association probability
  • Cloud service
  • Noise generation
  • Privacy protection

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