PDA: Privacy-Preserving Data Aggregation in Wireless Sensor Networks

By Wenbo He, Xue Liu, Hoang Nguyen, Klara Nahrstedt, Tarek F. Abdelzaher. IEEE INFOCOM 2007 - 26th IEEE International Conference on Computer Communications, 2007

486 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Privacy preservation in wireless sensor networks: A state-of-the-art survey (2009, methodology): “Two privacy-preserving techniques were proposed in [14]: (i) cluster-based private data aggregation (CPDA), which adds random seeds into the original data, and (ii) slice-mixed aggregation (SMART), which chops one data item into pieces and then rebuilds data package after exchanging those pieces ran”
A Survey on Federated Learning for Resource-Constrained IoT Devices (2021, unknown): “6) During the FL process, we may observe statistical heterogeneity among the client data.”
A Survey on Internet of Things: Architecture, Enabling Technologies, Security and Privacy, and Applications (2017, methodology): “…privacy-preserving mechanisms have been developed that focused on data aggregation, and can be divided into the following categories: 1) anonymity-based privacy preservation [104]; 2) encryption-based privacy preservation [39]; and 3) perturbation-based privacy preservation [48], [100], [101].”
A Decentralized Privacy-Preserving Healthcare Blockchain for IoT (2019, background): “We have to date already heard of many data breaches or data losses with regards to medical data [16,17].”