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Conference Paper: Privacy-preserving stream aggregation with fault tolerance

TitlePrivacy-preserving stream aggregation with fault tolerance
Authors
KeywordsApplied cryptography
Differential privacies
Privacy preserving
Sensitive datas
Smart grid
Total power consumption
User privacy
Issue Date2012
PublisherSpringer Verlag. The Journal's web site is located at http://springerlink.com/content/105633/
Citation
The 16th International Conference on Financial Cryptography and Data Security (FC 2012), Kralendijk, Bonaire, The Netherlands, 27 February-2 March 2012. In Lecture Notes in Computer Science, 2012, v. 7397, p. 200-214 How to Cite?
AbstractWe consider applications where an untrusted aggregator would like to collect privacy sensitive data from users, and compute aggregate statistics periodically. For example, imagine a smart grid operator who wishes to aggregate the total power consumption of a neighborhood every ten minutes; or a market researcher who wishes to track the fraction of population watching ESPN on an hourly basis. We design novel mechanisms that allow an aggregator to accurately estimate such statistics, while offering provable guarantees of user privacy against the untrusted aggregator. Our constructions are resilient to user failure and compromise, and can efficiently support dynamic joins and leaves. Our constructions also exemplify the clear advantage of combining applied cryptography and differential privacy techniques. © 2012 Springer-Verlag.
DescriptionLNCS v. 7397 entitled: Financial cryptography and data security : 16th International Conference, FC 2012 ... Revised selected papers
Persistent Identifierhttp://hdl.handle.net/10722/160093
ISBN
ISSN
2005 Impact Factor: 0.402
2015 SCImago Journal Rankings: 0.252

 

DC FieldValueLanguage
dc.contributor.authorChan, HTHen_US
dc.contributor.authorShi, Een_US
dc.contributor.authorSong, Den_US
dc.date.accessioned2012-08-16T06:03:09Z-
dc.date.available2012-08-16T06:03:09Z-
dc.date.issued2012en_US
dc.identifier.citationThe 16th International Conference on Financial Cryptography and Data Security (FC 2012), Kralendijk, Bonaire, The Netherlands, 27 February-2 March 2012. In Lecture Notes in Computer Science, 2012, v. 7397, p. 200-214en_US
dc.identifier.isbn978-364232945-6-
dc.identifier.issn0302-9743-
dc.identifier.urihttp://hdl.handle.net/10722/160093-
dc.descriptionLNCS v. 7397 entitled: Financial cryptography and data security : 16th International Conference, FC 2012 ... Revised selected papers-
dc.description.abstractWe consider applications where an untrusted aggregator would like to collect privacy sensitive data from users, and compute aggregate statistics periodically. For example, imagine a smart grid operator who wishes to aggregate the total power consumption of a neighborhood every ten minutes; or a market researcher who wishes to track the fraction of population watching ESPN on an hourly basis. We design novel mechanisms that allow an aggregator to accurately estimate such statistics, while offering provable guarantees of user privacy against the untrusted aggregator. Our constructions are resilient to user failure and compromise, and can efficiently support dynamic joins and leaves. Our constructions also exemplify the clear advantage of combining applied cryptography and differential privacy techniques. © 2012 Springer-Verlag.-
dc.languageengen_US
dc.publisherSpringer Verlag. The Journal's web site is located at http://springerlink.com/content/105633/-
dc.relation.ispartofLecture Notes in Computer Scienceen_US
dc.rightsThe original publication is available at www.springerlink.com-
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.subjectApplied cryptography-
dc.subjectDifferential privacies-
dc.subjectPrivacy preserving-
dc.subjectSensitive datas-
dc.subjectSmart grid-
dc.subjectTotal power consumption-
dc.subjectUser privacy-
dc.titlePrivacy-preserving stream aggregation with fault toleranceen_US
dc.typeConference_Paperen_US
dc.identifier.emailChan, HTH: hubert@cs.hku.hken_US
dc.identifier.authorityChan, HTH=rp01312en_US
dc.description.naturepostprint-
dc.identifier.doi10.1007/978-3-642-32946-3_15-
dc.identifier.scopuseid_2-s2.0-84865833847-
dc.identifier.hkuros202979en_US
dc.identifier.volume7397-
dc.identifier.spage200-
dc.identifier.epage214-
dc.publisher.placeGermany-
dc.customcontrol.immutablesml 140423-

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