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Privacy in the Cloud: Anonymous Tax Preparation

dc.contributor.authorPeters, Emmanuel S.
dc.contributor.authorMaxemchuk, Nicholas F. 
dc.date.accessioned2021-07-13T09:27:54Z
dc.date.available2021-07-13T09:27:54Z
dc.date.issued2016-04-08
dc.identifier.urihttp://hdl.handle.net/20.500.12761/288
dc.descriptionDOI: 10.1109/BigDataSecurity-HPSC-IDS.2016.33
dc.description.abstractWe present a distributed tax preparation application as an example of anonymous processing in the cloud where processing units are interconnected anonymously via intermediaries. This example uses the double-locked box which was used in the anonymous credit card in the 1990s. However, unlike the anonymous credit card our application automates the distribution of the double-locked boxes and the connection of involved participants with minimal user interaction. We also introduce an entropy-based metric. As processing units are compromised, loss of anonymity is measured using this entropy metric.
dc.titlePrivacy in the Cloud: Anonymous Tax Preparation
dc.typeconference object
dc.conference.date8-10 April 2016
dc.conference.placeNew York City, NY, USA
dc.conference.titleThe 2nd IEEE International Conference on Big Data Security on Cloud (BigDataSecurity 2016), IEEE International Conference on High Performance and Smart Computing (HPSC 2016), IEEE International Conference on Intelligent Data and Security (IDS 2016)*
dc.event.typeconference
dc.pres.typepaper
dc.page.final182
dc.page.initial177
dc.subject.keywordPrivacy
dc.subject.keywordcloud computing
dc.subject.keywordtax preparation
dc.subject.keyworddistributed processing
dc.subject.keywordanonymity
dc.description.refereedTRUE
dc.description.statuspub
dc.eprint.idhttp://eprints.networks.imdea.org/id/eprint/1466


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