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Journal of Electrical and Computer Engineering
Volume 2015 (2015), Article ID 104286, 9 pages
http://dx.doi.org/10.1155/2015/104286
Research Article

A Secure Privacy-Preserving Data Aggregation Model in Wearable Wireless Sensor Networks

Science School, Beijing University of Civil Engineering and Architecture, Beijing 100044, China

Received 29 June 2015; Accepted 13 September 2015

Academic Editor: Jiang Zhu

Copyright © 2015 Changlun Zhang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

With the rapid development and widespread use of wearable wireless sensors, data aggregation technique becomes one of the most important research areas. However, the sensitive data collected by sensor nodes may be leaked at the intermediate aggregator nodes. So, privacy preservation is becoming an increasingly important issue in security data aggregation. In this paper, we propose a security privacy-preserving data aggregation model, which adopts a mixed data aggregation structure. Data integrity is verified both at cluster head and at base station. Some nodes adopt slicing technology to avoid the leak of data at the cluster head in inner-cluster. Furthermore, a mechanism is given to locate the compromised nodes. The analysis shows that the model is robust to many attacks and has a lower communication overhead.