Reference : Unlinkable Updatable Hiding Databases and Privacy-Preserving Loyalty Programs
Scientific congresses, symposiums and conference proceedings : Paper published in a journal
Engineering, computing & technology : Computer science
Security, Reliability and Trust
http://hdl.handle.net/10993/49090
Unlinkable Updatable Hiding Databases and Privacy-Preserving Loyalty Programs
English
Damodaran, Aditya Shyam Shankar mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > APSIA >]
Rial, Alfredo [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > APSIA >]
Jul-2021
Proceedings on Privacy Enhancing Technologies
Sciendo
2021
3
95-121
Yes (verified by ORBilu)
No
International
2299-0984
Poland
Privacy Enhancing Technologies Symposium
from 12-07-2021 to 16-07-2021
Rochester
NY, USA
[en] UC Framework ; Vector Commitments
[en] Loyalty programs allow vendors to profile buyers based on their purchase histories, which can reveal privacy sensitive information. Existing privacy friendly loyalty programs force buyers to choose whether their purchases are linkable. Moreover, vendors receive more purchase data than required for the sake of profiling. We propose a privacy-preserving loyalty program where purchases are always unlinkable, yet a vendor can profile a buyer based on her purchase history, which remains hidden from the vendor. Our protocol is based on a new building block, an unlinkable updatable hiding database (HD), which we define and construct. HD allows the vendor to initialize and update databases stored by buyers that contain their purchase histories and their accumulated loyalty points. Updates are unlinkable and, at each update, the database is hidden from the vendor. Buyers can neither modify the database nor use old versions of it. Our construction for HD is practical for large databases.
Interdisciplinary Centre for Security, Reliability and Trust (SnT) > Applied Security and Information Assurance Group (APSIA)
Fonds National de la Recherche - FnR
Stateful Zero-knowledge
Researchers ; Professionals ; Students ; General public
http://hdl.handle.net/10993/49090
10.2478/popets-2021-0039
https://petsymposium.org/2021/files/papers/issue3/popets-2021-0039.pdf
FnR ; FNR11650748 > Alfredo Rial > SZK > Stateful Zero-knowledge > 01/03/2018 > 28/02/2021 > 2017

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