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In this paper, an algorithm is aimed to make a cryptosystem for gray levelimages based on voice features, secret sharing scheme and electromagnetic rotormachine. Here, Shamir secret sharing (k n) threshold scheme is used to secure akey along with voice features of (n k) users. Keystream is molded bycoefficients of a voice sample, using this key stream, rotor machines rotatingcylinders positions are initialized and internal wiring is decided by pseudorandom number of Henon chaotic map, where initial seed for chaotic system ischosen from keystream. And furthermore, shares of key stream are distributedamong users. Speech processing is fused with electromagnetic machine to provideauthentication as well as group based encryption. Perceptual linear predication(PLP) coefficients are utilized for formation of secret key. Simulationexperiments and statistical analysis demonstrate that the proposed algorithm issensitive to initial secret keystream, entropy, mean value analysis andhistogram of the encrypted image is admirable. Hence, the proposed scheme isresistible to any vulnerable situation.

A novel group based cryptosystem based on electromagnetic rotor machine