Leakage-resilient symmetric cryptography under empirically verifiable assumptions

42Citations
Citations of this article
46Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Leakage-resilient cryptography aims at formally proving the security of cryptographic implementations against large classes of side-channel adversaries. One important challenge for such an approach to be relevant is to adequately connect the formal models used in the proofs with the practice of side-channel attacks. It raises the fundamental problem of finding reasonable restrictions of the leakage functions that can be empirically verified by evaluation laboratories. In this paper, we first argue that the previous "bounded leakage" requirements used in leakage-resilient cryptography are hard to fulfill by hardware engineers. We then introduce a new, more realistic and empirically verifiable assumption of simulatable leakage, under which security proofs in the standard model can be obtained. We finally illustrate our claims by analyzing the physical security of an efficient pseudorandom generator (for which security could only be proven under a random oracle based assumption so far). These positive results come at the cost of (algorithm-level) specialization, as our new assumption is specifically defined for block ciphers. Nevertheless, since block ciphers are the main building block of many leakage-resilient cryptographic primitives, our results also open the way towards more realistic constructions and proofs for other pseudorandom objects. © 2013 International Association for Cryptologic Research.

Cite

CITATION STYLE

APA

Standaert, F. X., Pereira, O., & Yu, Y. (2013). Leakage-resilient symmetric cryptography under empirically verifiable assumptions. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8042 LNCS, pp. 335–352). https://doi.org/10.1007/978-3-642-40041-4_19

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