Citation: | DU Baoxiang, GENG Xiaoli, CHEN Fangyue, PAN Jing, DING Qun. Generation and Realization of Digital Chaotic Key Sequence Based on Double K-L Transform[J]. Chinese Journal of Electronics, 2013, 22(1): 131-134. |
D. Utami, H. Suwastio, B. Svmadjudin, “FPGA implementationof digital chaotic cryptography”, Lecture Notes in ComputerScience (LNCS), Vol.2510, pp.239-247, 2002.
|
Ding Qun, Peng Xiyuan, Yang Ziheng, “The cipher chip of combiningstream based on the neural network algorithm”, ActaElectronica Sinica, Vol.34, No.3, pp.409-412, 2006. (in Chinese)
|
T. Kohda, A. Tsuneda, “Statistics of chaotic binary sequences”,IEEE Trans. Inform. Theory, Vol.43, No.1, pp.104-112, 1997.
|
Jin Chenhui, Yang Yang, Qi Chuanda, “A related-key attack onchaotic stream ciphers”, Journal of Electronics and InformationTechnology, Vol.28, No.3, pp.410-414, 2006. (in Chinese)
|
Ding Qun, Pang Jing, Fang Jinqing, Peng Xiyuan, “Designingof chaotic system output sequence circuit based on FPGAand its possible applications in network encryption card”, InternationalJournal of Innovative Computing, Information andControl (IJICIC), Vol.3, No.2, pp.449-456, 2007.
|
Wang Yan, “Phase space restruction, bifurcation and economicsystem attractor analysis”, Ph.D. Thesis, Northwestern PolytechnicalUniversity, China, 2006. (in Chinese)
|
Ding Qun, Zhu Yong, Zhang Fangyi, Peng Xiyuan, “Discretechaotic circuit and the property analysis of output sequence”,IEEE International Symposium on Communications and InformationTechnologies, Beijing, China, pp.1009-1012, 2005.
|
Chen Fangyue, Chen Guanrong, “Universal perceptron andDNA-like learning algorithm for binary neural networks: LSBFand PBF implementations”, IEEE Transactions on Neural Networks,Vol.20, No.10, pp.1645-1658, 2009.
|