Privacy-Friendly Checking of Remote Token Blacklists

Abstract : Consulting a remote blacklist as part of verifying a token should not come at the cost of privacy. In particular, the blacklist provider should be unable to identify which tokens are being verified. The contents of the blacklist should also be protected; that is, it should not be possible to learn the contents of the blacklist, for example by querying the blacklist provider a large number of times. This paper defines a range of desirable properties for privacy preserving blacklist checking protocols, and surveys existing technical solutions to this problem. We propose adaptations where appropriate, and provide concrete performance estimates for the use case of checking whether or not a passport has been reported lost or stolen.
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Simone Fischer-Hübner; Elisabeth Leeuw; Chris Mitchell. 3rd Policies and Research in Identity Management (IDMAN), Apr 2013, London, United Kingdom. Springer, IFIP Advances in Information and Communication Technology, AICT-396, pp.18-33, 2013, Policies and Research in Identity Management. 〈10.1007/978-3-642-37282-7_3〉
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Roel Peeters, Andreas Pashalidis. Privacy-Friendly Checking of Remote Token Blacklists. Simone Fischer-Hübner; Elisabeth Leeuw; Chris Mitchell. 3rd Policies and Research in Identity Management (IDMAN), Apr 2013, London, United Kingdom. Springer, IFIP Advances in Information and Communication Technology, AICT-396, pp.18-33, 2013, Policies and Research in Identity Management. 〈10.1007/978-3-642-37282-7_3〉. 〈hal-01470501〉

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