Speech encryption using generalized modified chaotic logistic and tent maps

This paper presents a speech encryption application, which utilizes several proposed generalized modified discrete chaotic maps based on the logistic and tent maps for pseudo-random number generation. The generalization scales the output range and the key space. The modification controls the bounds on the output range through a parameter such that chaotic output exists for almost all values of the parameter. Consequently, the modified maps do not suffer from the inherited problems of conventional chaotic generators such as islands of stability and drifting from chaos due to dynamical degradation induced by finite precision. The security and efficiency of the speech encryption scheme is validated through perceptual and statistical aspects, key sensitivity, resistance to brute force and differential attacks and computational complexity. © 2018 IEEE.