Security analysis of a spatiotemporal-chaos-based cryptosystem
Lü Hua-Ping (吕华平)ab, Wang Shi-Hong (王世红)ac, Li Xiao-Wen (李晓文)a, Tang Guo-Ning (唐国宁)a, Kuang Jin-Yu (匡锦瑜)d, Ye Wei-Ping (叶卫平)d, Hu Gang (胡岗)ae
a Department of Physics, Beijing Normal University, Beijing 100875, China; b Department of Physics, Xuzhou Normal University, Xuzhou 221009, China; c Science school, Beijing University of Posts and Telecommunications, Beijing 100876, China; d Department of Physics, Beijing Normal University, Beijing 100875, Chinae The Key Laboratory of Beam Technology and Material Modification of Ministry of Education, Beijing Normal University, Beijing 100875, China
Abstract An S-box modified one-way coupled map lattice is applied as a chaotic cryptograph. The security of the system is evaluated from various attacks currently used, including those based on error function analysis, statistical property analysis, and known-plaintext and chosen-ciphertext analytical computations. It is found that none of the above attacks can be better than the brute force attack of which the cost is exhaustively quantitated by the key number in the key space. Also, the system has fairly fast encryption (decryption) speed, and has extremely long period for finite-precision computer realization of chaos. It is thus argued that this chaotic cryptosystem can be a hopeful candidate for realistic service of secure communications.
Received: 03 July 2003
Revised: 19 September 2003
Accepted manuscript online:
Fund: Project supported by the National Natural Science Foundation of China (Grant No 10175010) and the Special Funds for Major State Basic Research Projects (Grant No G2000077304).
Cite this article:
Lü Hua-Ping (吕华平), Wang Shi-Hong (王世红), Li Xiao-Wen (李晓文), Tang Guo-Ning (唐国宁), Kuang Jin-Yu (匡锦瑜), Ye Wei-Ping (叶卫平), Hu Gang (胡岗) Security analysis of a spatiotemporal-chaos-based cryptosystem 2004 Chinese Physics 13 625
Altmetric calculates a score based on the online attention an article receives. Each coloured thread in the circle represents a different type of online attention. The number in the centre is the Altmetric score. Social media and mainstream news media are the main sources that calculate the score. Reference managers such as Mendeley are also tracked but do not contribute to the score. Older articles often score higher because they have had more time to get noticed. To account for this, Altmetric has included the context data for other articles of a similar age.