ISCAS OpenIR
improved multi-pass fast correlation attacks with applications
Zhang Bin; Feng DengGuo
2011
SourceSCIENCE CHINA-INFORMATION SCIENCES
ISSN1674-733X
Volume54Issue:8Pages:1635-1644
English AbstractIn this paper we propose two new algorithms for multi-pass fast correlation attacks on stream ciphers. The first algorithm aims at fast symbol-wise decoding in the circumstances that the noise is not very high and we have little resource for pre-computation. The second algorithm deals with the practical decoding problem in the high noise and limited keystream cases. The new algorithms are applicable to arbitrary form LFSR and compare favorably to the previously known algorithms in the scenarios under consideration. As applications, we demonstrate new key recovery attacks on one-level Bluetooth E0 and LILI-128, respectively. Given 2(37)-bit keystream and 2(28)-byte memory, our attack against one-level E0 needs 2(35.1) operations. Given 2(24)-bit keystream and 2(24.5)-byte memory, our attack on LILI-128 has time complexity 270.6 operations.; In this paper we propose two new algorithms for multi-pass fast correlation attacks on stream ciphers. The first algorithm aims at fast symbol-wise decoding in the circumstances that the noise is not very high and we have little resource for pre-computation. The second algorithm deals with the practical decoding problem in the high noise and limited keystream cases. The new algorithms are applicable to arbitrary form LFSR and compare favorably to the previously known algorithms in the scenarios under consideration. As applications, we demonstrate new key recovery attacks on one-level Bluetooth E0 and LILI-128, respectively. Given 2(37)-bit keystream and 2(28)-byte memory, our attack against one-level E0 needs 2(35.1) operations. Given 2(24)-bit keystream and 2(24.5)-byte memory, our attack on LILI-128 has time complexity 270.6 operations.
Indexed TypeSCI
KeywordStream Cipher Fast Correlation Attacks Linear Feedback Shift Register (Lfsr) Bluetooth E0 Lili-128
DepartmentZhang Bin; Feng DengGuo Chinese Acad Sci State Key Lab Informat Secur Inst Software Beijing 100190 Peoples R China.
SubjectComputer Science
SponsorshipNational Natural Science Foundation of China60833008, 60603018
Language英语
WOS IDWOS:000293188100008
Citation statistics
Content Type期刊论文
URIhttp://ir.iscas.ac.cn/handle/311060/16080
Collection中国科学院软件研究所
Recommended Citation
GB/T 7714
Zhang Bin,Feng DengGuo. improved multi-pass fast correlation attacks with applications[J]. SCIENCE CHINA-INFORMATION SCIENCES,2011,54(8):1635-1644.
APA Zhang Bin,&Feng DengGuo.(2011).improved multi-pass fast correlation attacks with applications.SCIENCE CHINA-INFORMATION SCIENCES,54(8),1635-1644.
MLA Zhang Bin,et al."improved multi-pass fast correlation attacks with applications".SCIENCE CHINA-INFORMATION SCIENCES 54.8(2011):1635-1644.
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