New cryptanalysis of irregularly decimated stream ciphers

3Citations
Citations of this article
16Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

In this paper we investigate the security of irregularly decimated stream ciphers. We present an improved correlation analysis of various irregular decimation mechanisms, which allows us to get much larger correlation probabilities than previously known methods. Then new correlation attacks are launched against the shrinking generator with Krawczyk's parameters, LILI-, DECIM and DECIM-128 to access the security margin of these ciphers. We show that the shrinking generator with Krawczyk's parameters is practically insecure; the initial internal state of LILI-can be recovered reliably in 272.5 operations, if 224.1-bit keystream and 274.1-bit memory are available. This disproves the designers' conjecture that the complexity of any divide-and-conquer attack on LILI-is in excess of 2128 operations and requires a large amount of keystream. We also examine the main design idea behind DECIM, i.e., to filter and then decimate the output using the ABSG algorithm, by showing a class of correlations in the ABSG mechanism and mounting attacks faster than exhaustive search on a 160-bit (out of 192-bit) reduced version of DECIM and on a 256-bit (out of 288-bit) reduced version of DECIM-128. Our result on DECIM is the first nontrivial cryptanalytic result besides the time/memory/data tradeoffs. While our result confirms the underlying design idea, it shows an interesting fact that the security of DECIM rely more on the length of the involved LFSR than on the ABSG algorithm. © 2009 Springer-Verlag Berlin Heidelberg.

Cite

CITATION STYLE

APA

Zhang, B. (2009). New cryptanalysis of irregularly decimated stream ciphers. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5867 LNCS, pp. 449–465). https://doi.org/10.1007/978-3-642-05445-7_28

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