The DOI matches its Crossref record; 31 of the 31 references it cites were found in a registry or an index.
PDA: Privacy-Preserving Data Aggregation in Wireless Sensor Networks
Open accessAbstract
Providing efficient data aggregation while preserving data privacy is a challenging problem in wireless sensor networks research. In this paper, we present two privacy-preserving data aggregation schemes for additive aggregation functions. The first scheme -cluster-based private data aggregation (CPDA)-leverages clustering protocol and algebraic properties of polynomials. It has the advantage of incurring less communication overhead. The second scheme -Slice-Mix-AggRegaTe (SMART)-builds on slicing techniques and the associative property of addition. It has the advantage of incurring less computation overhead. The goal of our work is to bridge the gap between collaborative data collection by wireless sensor networks and data privacy. We assess the two schemes by privacy-preservation efficacy, communication overhead, and data aggregation accuracy. We present simulation results of our schemes and compare their performance to a typical data aggregation scheme -TAG, where no data privacy protection is provided. Results show the efficacy and efficiency of our schemes. To the best of our knowledge, this paper is among the first on privacy-preserving data aggregation in wireless sensor networks.
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Imteaj, A., Thakker, U., Wang, S., Li, J., & Amini, M. H. (2022) · IEEE Internet of Things Journal · doi:10.1109/jiot.2021.3095077 · Cited by 774
A New Intrusion Detection System Based on KNN Classification Algorithm in Wireless Sensor Network
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Privacy-Preserving Data Mining: Methods, Metrics, and Applications
Mendes, R., & Vilela, J. P. (2017) · IEEE Access · doi:10.1109/access.2017.2706947 · Cited by 294
Metadata
- Authors
- He, W., Liu, X., Nguyen, H., Nahrstedt, K., & Abdelzaher, T.
- Venue
- IEEE INFOCOM 2007 - 26th IEEE International Conference on Computer Communications
- Publisher
- IEEE
- Published
- 2007
- Pages
- 2045-2053
- OpenAlex
- W2104208424
- Cited by
- 434
- References
- 31
- FWCI
- 13.93
- Type
- conference paper
- Language
- en
- Open access
- green
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