An improved distinguisher for dragon


Autoria(s): Cho, Joo Yeon; Pieprzyk, Josef
Contribuinte(s)

Li, Yongqing

Ling, San

Niederreiter, Harald

Wang, Huaxiong

Xing, Chaoping

Zhang, Shengyuan

Data(s)

2008

Resumo

Dragon stream cipher is one of the focus ciphers which have reached Phase 2 of the eSTREAMproject. In this paper, we present a new method of building a linear distinguisher for Dragon. The distinguisher is constructed by exploiting the biases of two S-boxes and the modular addition which are basic components of the nonlinear function F. The bias of the distinguisher is estimated to be around 2−75.32 which is better than the bias of the distinguisher presented by Englund and Maximov. We have shown that Dragon is distinguishable from a random cipher by using around 2150.6 keystream words and 259 memory. In addition, we present a very efficient algorithm for computing the bias of linear approximation of modular addition.

Formato

application/pdf

Identificador

http://eprints.qut.edu.au/70254/

Publicador

World Scientific Publishing

Relação

http://eprints.qut.edu.au/70254/1/Draft_JP.pdf

DOI:10.1142/9789812832245_0007

Cho, Joo Yeon & Pieprzyk, Josef (2008) An improved distinguisher for dragon. In Li, Yongqing, Ling, San, Niederreiter, Harald, Wang, Huaxiong, Xing, Chaoping, & Zhang, Shengyuan (Eds.) Proceedings of the First International Workshop on Coding and Cryptology, World Scientific Publishing, Wuyi Mountain, Fujian, China, pp. 91-108.

Direitos

Copyright 2008 by World Scientific Publishing Co. Pte. Ltd.

All rights reserved. This book, or parts thereof, may not be reproduced in any form or by any means, electronic or mechanical, including photocopying, recording or any information storage and retrieval system now known or to be invented, without written permission from the Publisher.

Fonte

School of Electrical Engineering & Computer Science; Science & Engineering Faculty

Palavras-Chave #Stream Ciphers #eSTREAM #Dragon #Modular Addition
Tipo

Conference Paper