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Volume 37 Issue 12
Jan.  2016
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Ding Chao, Yang Li-jun, Wu Meng. A Recoverable Privacy-preserving Integrity-assured Data Aggregation Scheme for Wireless Sensor Networks[J]. Journal of Electronics & Information Technology, 2015, 37(12): 2808-2814. doi: 10.11999/JEIT150208
Citation: Ding Chao, Yang Li-jun, Wu Meng. A Recoverable Privacy-preserving Integrity-assured Data Aggregation Scheme for Wireless Sensor Networks[J]. Journal of Electronics & Information Technology, 2015, 37(12): 2808-2814. doi: 10.11999/JEIT150208

A Recoverable Privacy-preserving Integrity-assured Data Aggregation Scheme for Wireless Sensor Networks

doi: 10.11999/JEIT150208
Funds:

The National 973 Program of China (2011CB302903)

  • Received Date: 2015-02-05
  • Rev Recd Date: 2015-08-25
  • Publish Date: 2015-12-19
  • To address the contradiction between data aggregation and data security in Wireless Sensor Networks (WSNs), a recoverable privacy-preserving integrity-assured data aggregation scheme is proposed based on the technologies of privacy homomorphism and aggregate message authentication code. The proposed scheme enables the Base Station (BS) to recover all the original sensing data from the final aggregated results, which makes it possible to verify the integrity of each sensing data and aggregated data, and perform any further operations on them on demand. The security analysis shows that the proposal not only provides the data privacy and data integrity, but also resists against unauthorized aggregation attack and aggregator capture attack; besides, it is able to detect and locate the malicious nodes which injects false data to the network in a certain range. The performance analysis shows that the proposed scheme has remarkable advantages over existing schemes in terms of computation and communication overhead. In order to evaluate the performance and feasibility of the proposal, the prototype implementation is presented based on the TinyOS platform. The experiment results demonstrate the proposed scheme is feasible and efficient for resource-constrained WSNs.
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