BISON: Blind Identification with Stateless scOped pseudoNyms
Jakob Heher, Stefan More, Lena Heimberger

TL;DR
BISON is a privacy-preserving pseudonym protocol that prevents user tracking by identity providers, is easy to implement, and integrates seamlessly with existing authentication systems like OpenID Connect.
Contribution
BISON introduces a stateless, scoped pseudonym derivation protocol inspired by Oblivious Pseudorandom Functions, enhancing privacy without adding complexity to authentication.
Findings
BISON achieves pseudonym derivation in approximately 3 ms.
It prevents linking of pseudonyms across service providers.
The protocol is practical and compatible with existing systems.
Abstract
Delegating authentication to identity providers like Google or Facebook, while convenient, compromises user privacy. These identity providers can record users' every move; the global identifiers they provide also enable internet-wide tracking. We show that neither is a necessary evil by presenting the BISON pseudonym derivation protocol, inspired by Oblivious Pseudorandom Functions. It hides the service provider's identity from the identity provider yet produces a trusted, scoped, immutable pseudonym. Colluding service providers cannot link BISON pseudonyms; this prevents user tracking. BISON does not require a long-lived state on the user device and does not add additional actors to the authentication process. BISON is practical. It is easy to understand, implement, and reason about, and is designed to integrate into existing authentication protocols. To demonstrate this, we…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Code & Models
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsHandwritten Text Recognition Techniques · Speech Recognition and Synthesis · Web Data Mining and Analysis
