An improved distinguisher for dragon
Contribuinte(s) |
Li, Yongqing Ling, San Niederreiter, Harald Wang, Huaxiong Xing, Chaoping Zhang, Shengyuan |
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Data(s) |
2008
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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 | |
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 |