ZHANG Jun, ZHU Jianghao, JIA Zongpu, YAN Xixi. A Secret Confusion Based Energy-Saving and Privacy-Preserving Data Aggregation Algorithm[J]. Chinese Journal of Electronics, 2017, 26(4): 740-746. doi: 10.1049/cje.2016.08.031
Citation: ZHANG Jun, ZHU Jianghao, JIA Zongpu, YAN Xixi. A Secret Confusion Based Energy-Saving and Privacy-Preserving Data Aggregation Algorithm[J]. Chinese Journal of Electronics, 2017, 26(4): 740-746. doi: 10.1049/cje.2016.08.031

A Secret Confusion Based Energy-Saving and Privacy-Preserving Data Aggregation Algorithm

doi: 10.1049/cje.2016.08.031
Funds:  This work is supported by the National Basic Research Program of China (No.2013CB338002), and the National Natural Science Foundation of China (No.61272476, No.61232009, No.61202420).
  • Received Date: 2015-04-10
  • Rev Recd Date: 2016-04-11
  • Publish Date: 2017-07-10
  • To reduce communication overhead on the premise of privacy protection, this study presents a novel secret Confusion based energy-saving and privacypreserving data aggregation algorithm (CESPT). In confusion phase, CESPT confuses real sensory data and their sources by positive-negative pairs and a confusion factor is introduced to determine the quantity of pairs generated by a sensor, the exchange rounds and the threshold of data exchange, which affect communication overhead and privacy intensity of a Wireless sensor network (WSN). In aggregation phase, CESPT adopts a positive-negative neutralization strategy and a well-designed time slice allocation mechanism to reduce network traffic and message collision. In a word, CESPT can greatly reduce data traffic and energy consumption and obtain accurate statistical results on the basis of data privacy.
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