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results on the immunity of boolean functions against probabilistic algebraic attacks
Liu Meicheng; Lin Dongdai; Pei Dingyi
2011
Conference Name16th Australasian Conference on Information Security and Privacy, ACISP 2011
SourceLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages34-46
Conference Date11-Jul-02
Conference PlaceMelbourne, VIC, Australia
Publish PlaceGermany
ISSN3029743
ISBN9783642224966
Department(1) State Key Laboratory of Information Security, Institute of Software, Chinese Academy of Sciences, Beijing 100190, China; (2) College of Mathematics and Information Sciences, Guangzhou University, Guangzhou 510006, China
English AbstractIn this paper, we study the immunity of Boolean functions against probabilistic algebraic attacks. We first show that there are functions, using as filters in a linear feedback shift register based nonlinear filter generator, such that probabilistic algebraic attacks outperform deterministic ones. Then we introduce two notions, algebraic immunity distance and k-error algebraic immunity, to measure the ability of Boolean functions resistant to probabilistic algebraic attacks. We analyze both lower and upper bounds on algebraic immunity distance, and also present the relations among algebraic immunity distance, k-error algebraic immunity, algebraic immunity and high order nonlinearity. © 2011 Springer-Verlag.
KeywordAlgebra Nonlinear Feedback Security Of Data Shift Registers
Content Type会议论文
URIhttp://ir.iscas.ac.cn/handle/311060/14241
Collection信息安全国家重点实验室
Recommended Citation
GB/T 7714
Liu Meicheng,Lin Dongdai,Pei Dingyi. results on the immunity of boolean functions against probabilistic algebraic attacks[C]. Germany,2011:34-46.
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