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BBA+: Improving the Security and Applicability of Privacy-Preserving Point Collection

Hartung, Gunnar; Hoffman, Max; Nagel, Matthias; Rupp, Andy

Abstract (englisch):

Black-box accumulation (BBA) has recently been introduced as a
building-block for a variety of user-centric protocols such as loyalty,
refund, and incentive systems. Loosely speaking, this building block
may be viewed as a cryptographic “piggy bank” that allows a user
to collect points (aka incentives, coins, etc.) in an anonymous and
unlinkable way. A piggy bank may be “robbed” at some point by a
user, letting her spend the collected points, thereby only revealing
the total amount inside the piggy bank and its unique serial number.
In this paper we present BBA+, a definitional framework ex-
tending the BBA model in multiple ways: (1) We support offline
systems in the sense that there does not need to be a permanent
connection to a serial number database to check whether a pre-
sented piggy bank has already been robbed. (2) We enforce the
collection of “negative points” which users may not voluntarily
collect, as this is, for example, needed in pre-payment or reputation
systems. (3) The security property formalized for BBA+ schemes is
stronger and more natural than for BBA: Essentially, we demand
that the amount claimed to be inside a piggy bank must be exactly
... mehr

DOI: 10.1145/3133956.3134071
Zitationen: 16
Zugehörige Institution(en) am KIT Institut für Theoretische Informatik (ITI)
Kompetenzzentrum für angewandte Sicherheitstechnologie (KASTEL)
Publikationstyp Proceedingsbeitrag
Publikationsjahr 2017
Sprache Englisch
Identifikator ISBN: 978-1-4503-4946-8
KITopen-ID: 1000077889
Erschienen in 24th ACM Conference on Computer and Communications Security (ACM CCS 2017), Dallas, TX, October 30 - November 3, 2017
Auflage 1
Verlag Association for Computing Machinery (ACM)
Seiten 1925-1942
Projektinformation KASTEL_IoE (BMBF, 16KIS0346)
Nachgewiesen in Dimensions
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