Round-optimal password-protected secret sharing and T-PAKE in the password-only model

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Abstract

In a Password-Protected Secret Sharing (PPSS) scheme with parameters (t, n) (formalized by Bagherzandi et al. [2]), a user Alice stores secret information among n servers so that she can later recover the information solely on the basis of her password. The security requirement is similar to a (t, n)-threshold secret sharing, i.e., Alice can recover her secret as long as she can communicate with t+1 honest servers but an attacker gaining access to t servers cannot learn any information about the secret. In particular, the system is secure against offline password attacks by an attacker controlling up to t servers. On the other hand, accounting for inevitable on-line attacks one allows the attacker an advantage proportional to the fraction of dictionary passwords tested in on-line interactions with the user and servers.We present the first round-optimal PPSS scheme, requiring just one message from user to server and from server to user, and prove its security in the challenging password-only setting where users do not have access to an authenticated public key. The scheme uses an Oblivious PRF whose security we define using a UC-style ideal functionality for which we show concrete, truly practical realizations in the random oracle model as well as standard-model instantiations. As an important application we use this scheme to build the first single-round password-only Threshold-PAKE protocol in the CRS and ROM models for arbitrary (t, n) parameters with no PKI requirements for any party (clients or servers) and no inter-server communication. Our T-PAKE protocols are built by combining suitable key exchange protocols on top of our PPSS schemes. We prove T-PAKE security via a generic composition theorem showing the security of any such composed protocol.

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APA

Jarecki, S., Kiayias, A., & Krawczyk, H. (2014). Round-optimal password-protected secret sharing and T-PAKE in the password-only model. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8874, pp. 233–253). Springer Verlag. https://doi.org/10.1007/978-3-662-45608-8_13

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