Security Analysis of the Efficient Chaos Pseudo-random Number Generator Applied to Video Encryption

Abstract

© 2018, Springer Science+Business Media, LLC, part of Springer Nature. Recently, chaos based pseudo-random number generator (PRNG) for video encryption was proposed. Security analysis presented in this paper reveals serious problems. Chaotic maps used in analyzed PRNG do not enhance its security due to a considerable number of initial values that lead to fixed points. Also, based on 6 known iterations, an attacker can reconstruct a secret key used in the working stage of the analyzed PRNG based on attack whose complexity is much smaller than the estimated key space. Therefore, security of the analyzed PRNG is much lower than expected and it should be used with caution. Some potential improvements of the analyzed PRNG are proposed which could eliminate perceived shortcomings of the original version.