Performance Analysis and Improvement of Logistic Chaotic Mapping
CHEN Zhigang①③ LIANG Diqing②③④ DENG Xiaohong③⑤ ZHANG Ying⑥
①(College of Software, Central South University, Changsha 410075, China) ②(School of Information Science and Engineering, Central South University, Changsha 410083, China) ③(“Mobile Health” Ministry of Education-China Mobile Joint Laboratory, Central South University, Changsha 410075, China) ④(Informatization Construction and Management Department, Changsha University of Science and Technology, Changsha 410114, China) ⑤(College of Applied Science, Jiangxi University of Science and Technology, Ganzhou 341000, China) ⑥(College of Electrical and Information Engineering, Changsha University of Science and Technology, Changsha 410114, China)
Chaotic system is an important research object in the field of data encryption based on the chaos. The logistic chaotic mapping is the simplest and efficient chaotic system and is usually used by many encryption methods based on the chaos, thus the security of Logistic mapping becomes an important research point. To deal with the issue of attractors and blank area of the presence of the Logistic sequence, an improved Logistic mapping based on the relationship between initial value and the fractal control parameters is proposed. The variables interval of chaotic mapping is reasonable subsection by using this relationship, so the chaos control parameter region can be expanded, and the onto mapping range is extended to the entire control parameter interval. The improved Logistic mapping makes the chaotic sequence distribution more uniform, and solves the problem of “stability window”and the blank area etc. Compared with the improved Logistic and piecewise chaotic Logistic, the experimental results show that the chaotic characteristics of sequence generated by the improved mapping is significantly strengthened, has more uniform distribution, and better random performance index. In addition, the improved Logistic mapping has low computational complexity and is prone to implement. The improved Logistic mapping has broad application prospects in the fields of spread spectrum communication and chaotic cipher.
LEE Tianfu. Enhancing the security of password authenticated key agreement protocols based on chaotic maps[J]. Information Sciences, 2015, 290(1): 63-71. doi: 10.1016/j.ins.2014.08.041.
[2]
TONG Xiaojun. Design of an image encryption scheme based on a multiple chaotic map[J]. Communications in Nonlinear Science and Numerical Simulation, 2013, 18(7): 1725-1733. doi:10.1016/j.asoc.2015.08.008.
LIU Quan, LI Peiyue, ZHANG Mingchao, et al. Image encryption algorithm based on chaos system having Markov portion[J]. Journal of Electronic & Information Technology, 2014, 36(6): 1271-1277. doi:10.3724/SP.J.1146.2013.01246.
XU Hongmei and GUO Shuxu. Time irreversibility analysis of logistic chaos system based on symbolic relative entropy[J]. Journal of Electronics & Information Technology, 2014, 36(5): 1242-1246. doi:10.3724/SP.J.1146.2013.01262.
[5]
ZHENG Pan, MU ChunLai, HU Xuegang, et al. Boundedness of solutions in a chemotaxis system with nonlinear sensitivity and logistic source[J]. Journal of Mathematical Analysis and Applications, 2015, 424(1): 509-522. doi: 10.1016/ j.jmaa.2014.11.031.
[6]
WANG Mingxin. The diffusive logistic equation with a free boundary and sign-changing coefficient[J]. Journal of Differential Equations, 2015, 258(4): 1252-1266. doi:10.1016/ j.jde.2014.10.022.
FAN Jiulun and ZHANG Xuefeng. Piecewise logistic chaotic map and its performance analysis[J]. Acta Electronica Sinica, 2009, 37(4): 720-725.
[10]
HUA Zhongyun, ZHOU Yicong, PUN Chiman, et al. 2D sine logistic modulation map for image encryption[J]. Information Sciences, 2015, 297(1): 80-94. doi: 10.1016/j.ins.2014.11.018.
LIU Jiandong and FU Xiuli. Spatiotemporal chaotic one-way hash function construction based on coupled tent maps[J]. Journal on Communications, 2007, 28(6): 30-38.
LIU Jinmei and QIU Shuisheng. Minimizing finite precision effects of digital chaotic systems by virtue of Lyapunov exponent[J]. Journal of Jinan University (Natural Science Edition), 2010, 31(5): 425-430.
LIU Jiahui and ZHANG Hongli. A parallel computing method of chaotic random sequence based on logistic map with scalable precision[J]. Journal of University of Science and Technology of China, 2011, 41(9): 837-846.