Exploiting ergodicity of the logistic map using deep-zoom to improve security of chaos-based cryptosystems.
MACHICAO, Jeaneth; ALVES, Marcela; BAPTISTA, Murilo S.; BRUNO, Odemir Martinez.
MACHICAO, Jeaneth; ALVES, Marcela; BAPTISTA, Murilo S.; BRUNO, Odemir Martinez.
 Abstract: This paper explores the deep-zoom properties of the chaotic k-logistic map, in order to propose an improved chaos-based cryptosystem. This map was shown to enhance the random features of the Logistic map, while at the same time reducing the predictability about its orbits. We incorporate its strengths to security into a previously published cryptosystem to provide an optimal pseudorandom number generator (PRNG) as its core operation. The result is a reliable method that does not have the weaknesses previously reported about the original cryptosystem. | |
| International Journal of Modern Physics C |
| v. 30, n. 4, p. 1950033-1-1950033-18 - Ano: 2019 |
| Fator de Impacto: 1,017 |
| http://dx.doi.org/10.1142/S0129183119500335 |  @article={002947702,author = {MACHICAO, Jeaneth; ALVES, Marcela; BAPTISTA, Murilo S.; BRUNO, Odemir Martinez.},title={Exploiting ergodicity of the logistic map using deep-zoom to improve security of chaos-based cryptosystems},journal={International Journal of Modern Physics C},note={v. 30, n. 4, p. 1950033-1-1950033-18},year={2019}} |
