Building lossy trapdoor functions from lossy encryption

12Citations
Citations of this article
34Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Injective fone-way trapdoor functions are one of the most fundamental cryptographic primitives. In this work we show how to derandomize lossy encryption (with long messages) to obtain lossy trapdoor functions, and hence injective one-way trapdoor functions. Bellare, Halevi, Sahai and Vadhan (CRYPTO '98) showed that if Enc is an IND-CPA secure cryptosystem, and H is a random oracle, then x → Enc(x,H(x)) is an injective trapdoor function. In this work, we show that if Enc is a lossy encryption with messages at least 1-bit longer than randomness, and h is a pairwise independent hash function, then x → Enc(x,h(x)) is a lossy trapdoor function, and hence also an injective trapdoor function. The works of Peikert, Vaikuntanathan and Waters and Hemenway, Libert, Ostrovsky and Vergnaud showed that statistically-hiding 2-round Oblivious Transfer (OT) is equivalent to Lossy Encryption. In their construction, if the sender randomness is shorter than the message in the OT, it will also be shorter than the message in the lossy encryption. This gives an alternate interpretation of our main result. In this language, we show that any 2-message statistically sender-private semi-honest oblivious transfer (OT) for strings longer than the sender randomness implies the existence of injective one-way trapdoor functions. This is in contrast to the black box separation of injective trapdoor functions from many common cryptographic protocols, e.g. IND-CCA encryption. © 2013 Springer-Verlag.

Cite

CITATION STYLE

APA

Hemenway, B., & Ostrovsky, R. (2013). Building lossy trapdoor functions from lossy encryption. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8270 LNCS, pp. 241–260). https://doi.org/10.1007/978-3-642-42045-0_13

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free