CRNov 14, 2014

Privacy-preserving Loyalty Programs

arXiv:1411.3961v210 citations
Originality Incremental advance
AI Analysis

This addresses privacy concerns for consumers in loyalty programs, offering a solution that balances vendor benefits with consumer anonymity, though it is incremental in applying cryptographic techniques to this domain.

The authors tackled the problem of consumer privacy loss in loyalty programs by proposing a protocol that enables anonymous participation and negotiated profiling, allowing consumers to control how much of their profile they reveal to vendors in exchange for rewards.

Loyalty programs are promoted by vendors to incentivize loyalty in buyers. Although such programs have become widespread, they have been criticized by business experts and consumer associations: loyalty results in profiling and hence in loss of privacy of consumers. We propose a protocol for privacy-preserving loyalty programs that allows vendors and consumers to enjoy the benefits of loyalty (returning customers and discounts, respectively), while allowing consumers to stay anonymous and empowering them to decide how much of their profile they reveal to the vendor. The vendor must offer additional reward if he wants to learn more details on the consumer's profile. Our protocol is based on partially blind signatures and generalization techniques, and provides anonymity to consumers and their purchases, while still allowing negotiated consumer profiling.

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