Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 434

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 access
He, W., Liu, X., Nguyen, H., Nahrstedt, K., Abdelzaher, T.·2007·IEEE INFOCOM 2007 - 26th IEEE International Conference on Computer Communications

Abstract

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.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1109/infcom.2007.237

Cites

31 of 31 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 31 references

Cited by

See all 434

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

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: PDA: Privacy-Preserving Data Aggregation in Wireless Sensor Networks. https://app.cochat.ai/papers/10.1109/infcom.2007.237
The paper
He, W., Liu, X., Nguyen, H., Nahrstedt, K., & Abdelzaher, T. (2007). PDA: Privacy-Preserving Data Aggregation in Wireless Sensor Networks. IEEE INFOCOM 2007 - 26th IEEE International Conference on Computer Communications. https://doi.org/10.1109/infcom.2007.237

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.