Applied Cryptography and Network Security: 13th by Tal Malkin, Vladimir Kolesnikov, Allison Lewko, Michalis

By Tal Malkin, Vladimir Kolesnikov, Allison Lewko, Michalis Polychronakis

This booklet constitutes the refereed lawsuits of the thirteenth foreign convention on utilized Cryptography and community defense, ACNS 2015, held in big apple, big apple, united states, in June 2015. The 33 revised complete papers incorporated during this quantity and provided including 2 abstracts of invited talks, have been conscientiously reviewed and chosen from 157 submissions. they're equipped in topical sections on safe computation: primitives and new types; public key cryptographic primitives; safe computation II: purposes; anonymity and similar purposes; cryptanalysis and assaults (symmetric crypto); privateness and coverage enforcement; authentication through eye monitoring and proofs of proximity; malware research and part channel assaults; part channel countermeasures and tamper resistance/PUFs; and leakage resilience and pseudorandomness.

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Additional info for Applied Cryptography and Network Security: 13th International Conference, ACNS 2015, New York, NY, USA, June 2-5, 2015, Revised Selected Papers

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Xm ), C, a) is the random variable, given security parameter k, consisting of all parties’ outputs and O. Definition 3. Protocol π implements verifiable secure function evaluation in the random oracle model if, for every probabilistic polynomial time real-world adversary A, there exists a probabilistic polynomial time ideal-world adversary SA such that, for all inputs x1 , . . , xm ; all sets of corrupted parties C; and all auxiliary input a: EXECπ,A (k; x1 , . . , xm ; C; a) and IDEALTVSFE ,SA (k; x1 , .

Communication-Optimal Proactive Secret Sharing for Dynamic Groups 29 In [30], this issue is prevented by constructing the polynomial Q such that no party in the old group knows her share of Q. More specifically, the parties in the old group construct a polynomial Rj for each Pj in the new group such that Rj (βj ) = 0. Then the Q and the Rj are generated simultaneously so that each party in the old group only learns her share of Q + Rj for each j. This technique preserves security but would not yield the optimal communication bandwidth that we aim for.

Security definitions and proofs are given in the full version of this paper [4]. 2 Related Work The same work [28] introducing the proactive security model also contained the first proactive secret sharing (PSS) scheme and proactively-secure multiparty computation (PMPC) protocol. PSS was the central tool introduced in [28], and there has been significant follow up work on PSS schemes, both in the synchronous and asynchronous network models (see Table 1 for a comparison). Currently the most efficient (non-dynamic) PSS scheme is [3], which has an optimal O(1) amortized communication complexity per secret share, is UC-secure and achieves near-optimal thresholds for both perfect and statistical cases.

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