Download Advances in Cryptology — CRYPTO ’94: 14th Annual by Mitsuru Matsui (auth.), Yvo G. Desmedt (eds.) PDF

By Mitsuru Matsui (auth.), Yvo G. Desmedt (eds.)

ISBN-10: 3540583335

ISBN-13: 9783540583332

The CRYPTO ’94 convention is backed through the overseas organization for Cryptologic examine (IACR), in co-operation with the IEEE laptop Society Technical Committee on safety and privateness. It has taken position on the Univ- sity of California, Santa Barbara, from August 21-25,1994. this can be the fourteenth annual CRYPTO convention, all of that have been held at UCSB. this is often the 1st time that court cases can be found on the convention. the final Chair, Jimmy R. Upton has been accountable for neighborhood association, registration, and so forth. there have been 114 submitted papers which have been thought of via this system Committee. of those, 1 was once withdrawn and 38 have been chosen for the proce- ings. There also are three invited talks. of those are on features of cryptog- phy within the advertisement international. the single on elements might be awarded by way of David Maher (AT&T), the only on software program points by way of Joseph Pato (Hewlett- Packard). there'll even be a panel dialogue on “Securing an digital international: Are We Ready?” The panel contributors should be: Ross Anderson, Bob Blakley, Matt Blaze, George Davida, Yvo Desmedt (moderator), Whitfield Diffie, Joan Feig- baum, Blake Greenlee, Martin Hellman, David Maher, Miles Smid. the subject of the panel may be brought by means of the invited speak of Whitfield Diffie on ”Securing the data road. ” those lawsuits comprise revised models of the 38 contributed talks. every one i paper was once despatched to no less than three individuals of this system committee for comments.

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Additional resources for Advances in Cryptology — CRYPTO ’94: 14th Annual International Cryptology Conference Santa Barbara, California, USA August 21–25, 1994 Proceedings

Example text

This gives us one reason t o expect a higher success rate with Algorithm LM for a given number of plaintext/ciphertext pairs. be the probability Another reason is due to a cancellation property. This coefficient takes values between -1 and $1. T h e greater the magnitude of the difference between E[Ug,h] and N / 2 , the A$’’))is adopted. However, since greater the likelihood that the key guess a correlation coefficient, can take both positive arid negative values for an incorrect key guess, but is always 1 for the correct, key guess, the correct guess is at a significant advantage.

Let N denote the total number of plaintexts. For some set of weights a l , , . a , where Ey=l(1, = 1 calculate Step 2 n Step 3 If U > 5 then guess K [ x K ] = 0, else guess A’[xK]= 1 The analysis below will show that we have introduced a new statist,ic. e. Because of this reduced variance the attack requires fewer known plaintexts. We will also see in Lernrna 2 that the success rate of Algorithm 1M is optirnized if the weights are defined as a; = t i / C c i . 1 Analysis of Algorithm 1M For each linear approximation define.

T h e techniques used in this attack were refined by Matsui and used with dramatic effect on DES [7] in a theoretical attack on the full 16-round DES requiring 247 known plaintext/ciphertext pairs [4]. After further work an experiment was performed during which the key used in the full 16-round version of LIES was recovered using 243 known plaintext/ciphertext pairs [9]. T h e most, notable feature about linear cryptanalysis is that it is a known plaintext attack rather than a chosen plaintext, attack (differential cryptanalysis [l] is a chosen plaintext attack) and as such poses more of a practical threat t o a block cipher.

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