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Universally Composable Notions of Key Exchange and Secure Channels

Lecture notes in computer sciencePublished 1 January 2002
Ran Canetti, Hugo Krawczyk
Citations656
SJR quartileQ2
SJR score0.35
SNIP0.55

TL;DR

While the notion of SK-security is strictly weaker than a fully-idealized notion of key exchange security, it is sufficiently robust for providing secure composition with arbitrary protocols and provides new definitions of secure-channels protocols with similarly strong composability properties.

Abstract

Recently, Canetti and Krawczyk (Eurocrypt'2001) formulated a notion of security for key-exchange (ke) protocols, called SK-security, and showed that this notion suffices for constructing secure channels. However, their model and proofs do not suffice for proving more general composability properties of SK-secure ke protocols. We show that while the notion of SK-security is strictly weaker than a fully-idealized notion of key exchange security, it is sufficiently robust for providing secure composition with arbitrary protocols. In particular, SK-security guarantees the security of the key for any application that desires to set-up secret keys between pairs of parties. We also provide new definitions of secure-channels protocols with similarly strong composability properties, and show that SK-security suffices for obtaining these definitions. To obtain these results we use the recently proposed framework of "universally composable (UC) security." We also use a new tool, called "non-information oracles," which will probably find applications beyond the present case. These tools allow us to bridge between seemingly limited indistinguishability-based definitions such as SK-security and more powerful, simulation-based definitions, such as UC security, where general composition theorems can be proven. Furthermore, based on such composition theorems we reduce the analysis of a full-fledged multi-session key-exchange protocol to the (simpler) analysis of individual, stand-alone, key-exchange sessions.

Keywords

Computer Science