By Rosario Gennaro, Matthew Robshaw

The volume-set, LNCS 9215 and LNCS 9216, constitutes the refereed court cases of the thirty fifth Annual overseas Cryptology convention, CRYPTO 2015, held in Santa Barbara, CA, united states, in August 2015. The seventy four revised complete papers provided have been conscientiously reviewed and chosen from 266 submissions. The papers are geared up within the following topical sections: lattice-based cryptography; cryptanalytic insights; modes and buildings; multilinear maps and IO; pseudorandomness; block cipher cryptanalysis; integrity; assumptions; hash features and move cipher cryptanalysis; implementations; multiparty computation; zero-knowledge; thought; signatures; non-signaling and information-theoretic crypto; attribute-based encryption; new primitives; and entirely homomorphic/functional encryption.

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Extra resources for Advances in Cryptology -- CRYPTO 2015: 35th Annual Cryptology Conference, Santa Barbara, CA, USA, August 16-20, 2015, Proceedings, Part II

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This leads to some more natural questions. What all can we achieve using this approach? In particular, can we expand the class of realizable functionalities in the concurrent setting? g. round complexity) of the protocols which exist in the plain model? 1 Our Results The key contribution of this work is a new way of approaching the problem of concurrent secure computation in the plain model facilitated by recent advances in concurrent non-black box simulation [25]. We give a protocol with non-black box and straightline simulator.

Towards that end, we rely on input indistinguishable computation Concurrent Secure Computation via Non-Black Box Simulation 31 introduced by Micali, Pass, and Rosen [39]. Challenges also arise with performing hybrid arguments in the setting where the code of the simulator itself is committed (because of non-black box simulation). The full construction along with the main ideas is given in Sect. 4. Other Related Work: Though Goyal et al. [25] gave the first protocol for concurrent zero-knowledge with a straightline simulator, recently, Chung et al.

Verifiable Random Functions. Verifiable random functions (VRFs) were introduced by Micali, Rabin, and Vadhan [40]. They combine the properties of pseudo-random functions with the verifiability property. Intuitively, they are pseudo-random functions with a public key and proofs for verification. , given the public key, for any input x, there is a unique y which can verify. In this work, we show the following: Theorem 3. Assume the existence of collision resistant hash functions and constant-round semi-honest oblivious transfer.

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