ISCAS OpenIR
Low data complexity inversion attacks on stream ciphers via truncated compressed preimage sets
Zhong, Xiao (1); Wang, Mingsheng (3); Zhang, Bin (1); Wu, Shengbao (1)
2014
Conference Name19th Australasian Conference on Information Security and Privacy, ACISP 2014
Pages131-147
Conference DateJuly 7, 2014 - July 9, 2014
Conference PlaceWollongong, NSW, Australia
Indexed TypeEI
Publish PlaceSpringer Verlag
ISSN3029743
ISBN9783319083438
Department(1) Trusted Computing and Information Assurance Laboratory, Institute of Software, Chinese Academy of Sciences, Beijing, China; (2) Graduate School, Chinese Academy of Sciences, Beijing, China; (3) State Key Laboratory of Information Security, Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China; (4) State Key Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences, Beijing, China
English AbstractThis paper focuses on the analysis of LFSR-based stream ciphers with low data complexity. We introduce a novel parameter called the k-th truncated compressed preimage set (TCP set), and propose a low data complexity attack to recover the initial LFSR state via the TCP sets. Our method costs very few keystream bits and less time than the brute force under some condition. We apply our method to a 90-stage LFSR-based keystream generator with filter Boolean function which can resist the algebraic attack and inversion attack given by Goli to the greatest extent. It needs only 10-bit keystream to recover the 90-bit initial state, costing less time and data than the algebraic attack. The time complexity is also less than that of the inversion attack. Moreover, we recover the 128-bit initial state of the stream cipher LILI-128 with our method. The data cost is just 9 keystream bits along with a memory cost of O(2 8.5), which is the minimum data cost to theoretically break LILI-128 so far as we know. The time complexity is O(2122.4), better than the brute force. We also define a new security parameter called Tcomp and suggest a design criterion for the LFSR-based stream ciphers. © 2014 Springer International Publishing Switzerland.; This paper focuses on the analysis of LFSR-based stream ciphers with low data complexity. We introduce a novel parameter called the k-th truncated compressed preimage set (TCP set), and propose a low data complexity attack to recover the initial LFSR state via the TCP sets. Our method costs very few keystream bits and less time than the brute force under some condition. We apply our method to a 90-stage LFSR-based keystream generator with filter Boolean function which can resist the algebraic attack and inversion attack given by Goli to the greatest extent. It needs only 10-bit keystream to recover the 90-bit initial state, costing less time and data than the algebraic attack. The time complexity is also less than that of the inversion attack. Moreover, we recover the 128-bit initial state of the stream cipher LILI-128 with our method. The data cost is just 9 keystream bits along with a memory cost of O(2 8.5), which is the minimum data cost to theoretically break LILI-128 so far as we know. The time complexity is O(2122.4), better than the brute force. We also define a new security parameter called Tcomp and suggest a design criterion for the LFSR-based stream ciphers. © 2014 Springer International Publishing Switzerland.
Language英语
Content Type会议论文
URIhttp://ir.iscas.ac.cn/handle/311060/16589
Collection中国科学院软件研究所
Recommended Citation
GB/T 7714
Zhong, Xiao ,Wang, Mingsheng ,Zhang, Bin ,et al. Low data complexity inversion attacks on stream ciphers via truncated compressed preimage sets[C]. Springer Verlag,2014:131-147.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Zhong, Xiao (1)]'s Articles
[Wang, Mingsheng (3)]'s Articles
[Zhang, Bin (1)]'s Articles
Baidu academic
Similar articles in Baidu academic
[Zhong, Xiao (1)]'s Articles
[Wang, Mingsheng (3)]'s Articles
[Zhang, Bin (1)]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Zhong, Xiao (1)]'s Articles
[Wang, Mingsheng (3)]'s Articles
[Zhang, Bin (1)]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.