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Anon-Pass: Practical Anonymous Subscriptions. | LitMetric

AI Article Synopsis

  • The paper discusses the creation of an anonymous subscription service that allows users to log in with credentials derived from their registration identity, ensuring that their logins remain indistinguishable to the service provider.
  • A major focus is the balance between the provider's need for longer authentication periods for efficiency and users' desire for shorter periods to enhance their anonymity.
  • The implementation of the service, tested through prototypes like a music service and an Android subway-pass app, demonstrates that adding anonymity has minimal impact on client performance and requires limited server resources.

Article Abstract

We present the design, security proof, and implementation of an anonymous subscription service. Users register for the service by providing some form of identity, which might or might not be linked to a real-world identity such as a credit card, a web login, or a public key. A user logs on to the system by presenting a credential derived from information received at registration. Each credential allows only a single login in any authentication window, or . Logins are anonymous in the sense that the service cannot distinguish which user is logging in any better than random guessing. This implies unlinkability of a user across different logins. We find that a central tension in an anonymous subscription service is the service provider's desire for a long epoch (to reduce server-side computation) versus users' desire for a short epoch (so they can repeatedly "re-anonymize" their sessions). We balance this tension by having short epochs, but adding an efficient operation for clients who do not need unlinkability to cheaply re-authenticate themselves for the next time period. We measure performance of a research prototype of our protocol that allows an independent service to offer anonymous access to existing services. We implement a music service, an Android-based subway-pass application, and a web proxy, and show that adding anonymity adds minimal client latency and only requires 33 KB of server memory per active user.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3913070PMC
http://dx.doi.org/10.1109/SP.2013.29DOI Listing

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