Leveraging cloud computing for privacy preserving aggregation in multi-domain wireless networks

Chengxin Xiao, Weiwei Jia, Haojin Zhu, Suguo Du, Zhenfu Cao

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

1 Scopus citations

Abstract

Enabling privacy preserving outsourced data aggregation is regarded as an important issue for multi-domain wireless networks. In this paper, we present a novel hybrid cloud based privacy preserving outsourced data aggregation framework. To achieve this, we introduce a hybrid storage cloud and aggregator cloud architecture, in which both of the storage clouds and aggregator cloud are assumed to be untrusted but they cannot collude with each other. Based on this security assumption, we propose two novel protocols, including the pro-active privacy preserving data aggregation and passive privacy preserving data aggregation schemes, which are based on the idea of secret sharing. The pro-active scheme allows the user to pro-actively split their data to multiple storage clouds to avoid data leaking while the passive scheme allows the users to store their encrypted data in storage cloud and aggregator to finish the data aggregation based on the encrypted data. The detailed performance simulations are given to demonstrate the security, effectiveness and efficiency of the proposed scheme.

Original languageEnglish
Title of host publicationWireless Algorithms, Systems, and Applications - 7th International Conference, WASA 2012, Proceedings
Pages733-744
Number of pages12
DOIs
StatePublished - 2012
Externally publishedYes
Event7th International Conference on Wireless Algorithms, Systems, and Applications, WASA 2012 - Yellow Mountains, China
Duration: 8 Aug 201210 Aug 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7405 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference7th International Conference on Wireless Algorithms, Systems, and Applications, WASA 2012
Country/TerritoryChina
CityYellow Mountains
Period8/08/1210/08/12

Keywords

  • Cloud Computing
  • Participatory Sensing
  • Privacy Aggregation

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