Private and Resilient Data Aggregation

Mathieu Cunche 1, * Cédric Lauradoux 1, * Marine Minier 1
* Corresponding author
1 PRIVATICS - Privacy Models, Architectures and Tools for the Information Society
Inria Grenoble - Rhône-Alpes, CITI - CITI Centre of Innovation in Telecommunications and Integration of services
Abstract : Sensors are commonly deployed in hostile environment, and consequently a number of research works have focused on data aggregation schemes designed to be tolerant to attacks on sensor nodes. In parallel, schemes ensuring the confidentiality of sensor data have been proposed to address the emerging privacy concerns. We note that resilience against tampering attacks requires access to the sensor node's data, while in privacy-preserving systems this data must remain confidential. In this work, we aim to reconcile these two seemingly conflicting objectives. We present a novel private and resilient aggregation system, in which an aggregator combines the data collected from sensor nodes and forwards the resulting sum to an analyst. Our scheme protects the privacy of the users from both honest-but-curious aggregator and analyst, while enabling the filtering of fake data values using a Private Range Test protocol.
Document type :
Reports
Complete list of metadatas

Cited literature [30 references]  Display  Hide  Download

https://hal.inria.fr/hal-00842914
Contributor : Mathieu Cunche <>
Submitted on : Tuesday, July 9, 2013 - 4:46:31 PM
Last modification on : Saturday, October 27, 2018 - 1:20:29 AM
Long-term archiving on : Thursday, October 10, 2013 - 4:12:46 AM

File

RR-8330.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-00842914, version 1

Citation

Mathieu Cunche, Cédric Lauradoux, Marine Minier. Private and Resilient Data Aggregation. [Research Report] RR-8330, INRIA. 2013. ⟨hal-00842914⟩

Share

Metrics

Record views

461

Files downloads

623