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

  • Chengxin Xiao*
  • , Weiwei Jia
  • , Haojin Zhu
  • , Suguo Du
  • , Zhenfu Cao
  • *此作品的通讯作者
  • Shanghai Jiao Tong University

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

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.

源语言英语
主期刊名Wireless Algorithms, Systems, and Applications - 7th International Conference, WASA 2012, Proceedings
733-744
页数12
DOI
出版状态已出版 - 2012
已对外发布
活动7th International Conference on Wireless Algorithms, Systems, and Applications, WASA 2012 - Yellow Mountains, 中国
期限: 8 8月 201210 8月 2012

出版系列

姓名Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
7405 LNCS
ISSN(印刷版)0302-9743
ISSN(电子版)1611-3349

会议

会议7th International Conference on Wireless Algorithms, Systems, and Applications, WASA 2012
国家/地区中国
Yellow Mountains
时期8/08/1210/08/12

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