An efficient and secure itinerary-based data aggregation algorithm for WSNs

Wang, Taochun and Zhang, Ji and Luo, Yonglong and Zuo, Kaizhong and Ding, Xintao (2017) An efficient and secure itinerary-based data aggregation algorithm for WSNs. In: 16th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (IEEE TrustCom-17), 1-4 Aug 2017, Sydney, Australia.


Abstract

The existing privacy-preserving data aggregation methods in wireless sensor networks (WSNs) generally rely on a network infrastructure, and data privacy is achieved by encryption techniques. However, such an infrastructure is very susceptible to the dynamic network topologies, and excessive encryption process causes a high energy consumption and re-duces the accuracy of the aggregation results. In this paper, we propose a secure and concentric-circle itinerary-based data aggregation algorithm (called SCIDA for short). With the help of a well-designed itinerary for aggregation propagation and data aggregation, SCIDA is not susceptible to network topology structure and thus suitable for wireless sensor net-works with dynamic network topologies and can save energy for network infrastructure maintenance. In addition, SCIDA uses a secure channel to ensure data privacy and avoids dramatic energy consumption caused by heavy encryption operations. SCIDA does not need to carry out encryption during data aggregation, which significantly reduces energy consumption, and prolongs the lifetime of the network. Theoretical analysis and experimental results show that SCIDA enjoys low communication overhead and energy con-sumption, yet high safety and accuracy.


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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: Permanent restricted access to Published version in accordance with the copyright restrictions of the publisher.
Faculty/School / Institute/Centre: Historic - Faculty of Health, Engineering and Sciences - School of Agricultural, Computational and Environmental Sciences (1 Jul 2013 - 5 Sep 2019)
Faculty/School / Institute/Centre: Historic - Faculty of Health, Engineering and Sciences - School of Agricultural, Computational and Environmental Sciences (1 Jul 2013 - 5 Sep 2019)
Date Deposited: 07 Apr 2020 03:01
Last Modified: 07 May 2020 03:38
Uncontrolled Keywords: security; data aggregation; secure channel; slicing technology
Fields of Research (2008): 08 Information and Computing Sciences > 0805 Distributed Computing > 080503 Networking and Communications
Identification Number or DOI: https://doi.org/10.1109/Trustcom/BigDataSE/ICESS.2017.268
URI: http://eprints.usq.edu.au/id/eprint/36154

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