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2017-10Konferenzveröffentlichung DOI: 10.18452/18922
ANONUS: Anonymous Bonus Point System with Fraud Detection
dc.contributor.authorBrack, Samuel
dc.contributor.authorDietzel, Stefan
dc.contributor.authorScheuermann, Björn
dc.date.accessioned2018-03-12T13:03:23Z
dc.date.available2018-03-12T13:03:23Z
dc.date.issued2017-10
dc.identifier.isbn978-1-5090-6523-3
dc.identifier.other10.1109/LCN.2017.50
dc.identifier.urihttp://edoc.hu-berlin.de/18452/19654
dc.description.abstractBonus point systems are widely used for rewarding customer loyalty in both traditional and electronic commerce scenarios. Merchants aim to additionally increase revenue by targeted advertising using customer data. At the same time, customers wish to protect their privacy of what they purchase. Common systems neither provide sufficient protection of privacy, nor protect the customers' identities. Anonymity makes it significantly harder to properly resolve claims of fraudulent transactions, because identities are not recorded for any purpose after a transaction has been committed. We propose an anonymous bonus system based on digital payment systems using blind cryptographic signatures. We implement a protocol extension that allows proof of bonus point possession in case of reported misbehavior, and we identify the implications on security, privacy, and performance of our proposals. Our results show that we can resolve these cases of fraud within the system without losing functionality in the bonus point protocol.eng
dc.language.isoeng
dc.publisherHumboldt-Universität zu Berlin
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/
dc.subjectBlind Signatureger
dc.subjectAsymmetric Cryptographyger
dc.subjectDigital Signatureger
dc.subjectAnonymityger
dc.subject.ddc000 Informatik, Informationswissenschaft, allgemeine Werke
dc.titleANONUS: Anonymous Bonus Point System with Fraud Detection
dc.typeconferenceObject
dc.identifier.urnurn:nbn:de:kobv:11-110-18452/19654-6
dc.identifier.doihttp://dx.doi.org/10.18452/18922
dc.type.versionacceptedVersion
local.edoc.container-title2017 IEEE 42nd Conference on Local Computer Networks (LCN)
local.edoc.pages9
local.edoc.type-nameKonferenzveröffentlichung
local.edoc.institutionMathematisch-Naturwissenschaftliche Fakultät
local.edoc.container-typeconference
local.edoc.container-type-nameKonferenz
local.edoc.container-event2017 IEEE 42nd Conference on Local Computer Networks (LCN), 9-12 October 2017, Singapore
dc.description.versionPeer Reviewed

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