Two-Dimensional Coupled Complex Chaotic Map

被引:2
|
作者
Hua, Zhongyun [1 ,2 ]
Yao, Jinhui [1 ]
Zhang, Yinxing [3 ]
Bao, Han [4 ]
Yi, Shuang [5 ]
机构
[1] Harbin Inst Technol, Sch Comp Sci & Technol, Shenzhen 518055, Peoples R China
[2] Guangdong Prov Key Lab Novel Secur Intelligence Te, Shenzhen 518055, Peoples R China
[3] Kunming Univ Sci & Technol, Fac Informat Engn & Automat, Kunming 650500, Peoples R China
[4] Changzhou Univ, Sch Microelect & Control Engn, Changzhou 213164, Peoples R China
[5] Southwest Univ Polit Sci & Law, Coll Criminal Invest, Engn Res Ctr Forens Sci, Chongqing Educ Comm, Chongqing 401120, Peoples R China
基金
中国国家自然科学基金;
关键词
Chaotic communication; Security; Hardware; Informatics; Complexity theory; Polynomials; Memristors; Chaotic system; complex chaotic map; hardware implementation; pseudorandom number generator (PRNG); SYSTEM; DESIGN;
D O I
10.1109/TII.2024.3431085
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Chaotic systems have attracted extensive research due to their pseudorandomness, ergodicity, and unique properties. Most studies focus on chaotic systems in the real number domain, but recent research has explored the design of complex chaotic systems. However, the chaotic behaviors of previous complex chaotic systems can only be observed through experiments and lack theoretical proof. In this article, we construct a 2-D coupled complex chaotic (2D-CCC) map using two nonlinear functions in the complex number domain. We theoretically prove the robust and complex chaotic behavior of the 2D-CCC map using the Lyapunov exponent. In addition, we conduct extensive experiments to demonstrate the map's intricate dynamics and high performance indicators. Comparison results highlight its superiority over previous chaotic systems. We also implement our 2D-CCC map on a hardware platform to validate its implementation feasibility on hardware devices. Finally, we investigate the 2D-CCC map's application in pseudorandom number generation and the testing results validate the high degree of randomness in the generated pseudorandom numbers.
引用
收藏
页码:85 / 95
页数:11
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