Back to Search
Start Over
Privacy-preserving computation of participatory noise maps in the cloud
- Source :
- Journal of Systems and Software, 92(1), 170-183, Journal of Systems and Software 92 (2014) 1
- Publication Year :
- 2014
-
Abstract
- This paper presents a privacy-preserving system for participatory sensing, which relies on cryptographic techniques and distributed computations in the cloud. Each individual user is represented by a personal software agent, deployed in the cloud, where it collaborates on distributed computations without loss of privacy, including with respect to the cloud service providers. We present a generic system architecture involving a cryptographic protocol based on a homomorphic encryption scheme for aggregating sensing data into maps, and demonstrate security in the Honest-But-Curious model both for the users and the cloud service providers. We validate our system in the context of NoiseTube, a participatory sensing framework for noise pollution, presenting experiments with real and artificially generated data sets, and a demo on a heterogeneous set of commercial cloud providers. To the best of our knowledge our system is the first operational privacy-preserving system for participatory sensing. While our validation pertains to the noise domain, the approach used is applicable in any crowd-sourcing application relying on location-based contributions of citizens where maps are produced by aggregating data – also beyond the domain of environmental monitoring.
- Subjects :
- Computer science
Distributed computing
Cloud computing
Cryptography
WASS
computer.software_genre
Participatory sensing
citizen science
Citizen science
business.industry
Toegepaste Informatiekunde
Environmental monitoring
Citizen journalism
Cryptographic protocol
Service provider
Privacy-preserving computation
noise mapping
Hardware and Architecture
Software agent
Systems architecture
Data mining
business
Information Technology
computer
Software
Information Systems
Subjects
Details
- Language :
- English
- ISSN :
- 01641212
- Volume :
- 92
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- Journal of Systems and Software
- Accession number :
- edsair.doi.dedup.....68e014fc7dff21297ebb2c45280ebca7