Skip to Main content Skip to Navigation
Conference papers

Anonygator: Privacy and Integrity Preserving Data Aggregation

Abstract : Data aggregation is a key aspect of many distributed applications, such as distributed sensing, performance monitoring, and distributed diagnostics. In such settings, user anonymity is a key concern of the participants. In the absence of an assurance of anonymity, users may be reluctant to contribute data such as their location or configuration settings on their computer. In this paper, we present the design, analysis, implementation, and evaluation of Anonygator, an anonymity-preserving data aggregation service for large-scale distributed applications. Anonygator uses anonymous routing to provide user anonymity by disassociating messages from the hosts that generated them. It prevents malicious users from uploading disproportionate amounts of spurious data by using a light-weight accounting scheme. Finally, Anonygator maintains overall system scalability by employing a novel distributed tree-based data aggregation procedure that is robust to pollution attacks. All of these components are tuned by a customization tool, with a view to achieve specific anonymity, pollution resistance, and efficiency goals. We have implemented Anonygator as a service and have used it to prototype three applications, one of which we have evaluated on PlanetLab. The other two have been evaluated on a local testbed.
Document type :
Conference papers
Complete list of metadata

Cited literature [37 references]  Display  Hide  Download

https://hal.inria.fr/hal-01055270
Contributor : Hal Ifip <>
Submitted on : Tuesday, August 12, 2014 - 11:55:50 AM
Last modification on : Wednesday, August 16, 2017 - 5:20:35 PM
Long-term archiving on: : Wednesday, November 26, 2014 - 10:41:09 PM

File

middleware.pdf
Files produced by the author(s)

Licence


Distributed under a Creative Commons Attribution 4.0 International License

Identifiers

Citation

Krishna P. N. Puttaswamy, Ranjita Bhagwan, Venkata N. Padmanabhan. Anonygator: Privacy and Integrity Preserving Data Aggregation. ACM/IFIP/USENIX 11th International Middleware Conference (MIDDLEWARE), Nov 2010, Bangalore, India. pp.85-106, ⟨10.1007/978-3-642-16955-7_5⟩. ⟨hal-01055270⟩

Share

Metrics

Record views

290

Files downloads

261