Affiliation:
1. University of Manitoba, Canada
Abstract
This paper presents tests specially-designed for a cryptosystem based on chaotic continuous cellular automata (CCA). The degree of the cryptosystem security is assessed by evaluating its (i) stationarity, (ii) spectral fractal dimension, and (iii) surrogate data. These tools are verified with known signals before applying them to test the cryptosystem. This paper introduces (i) a robust method to determine the minimum stationary window in a given time series, and (ii) a technique to conceal a chaotic attractor based on surrogate data. These new ideas are relevant because the stationarity of a signal can be determined rapidly, and the chaotic attractor concealment enhances the cryptosystem to increase its security degree.
Cited by
3 articles.
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