An Arnold Cat Map-Based Chaotic Approach for Securing Voice Communication

We present four encryption approaches for voice communication systems by combining Arnold cat map with either Henon or modified Henon or Unified or Lorenz chaotic maps. These approaches depend on permuting and substituting voice samples using transform domains and secret keys in time. We use two levels of chaotic maps to increase the security of the encrypted signal. We first apply Arnold cat map to permute the voice samples, then we apply either Henon or modified Henon or Unified or Lorenz chaotic maps to generate the mask key and hence substitute the permuted samples. We also present a comparative study between these approaches. Experimental results show that modifying conventional chaotic approaches from one level chaotic map to two levels chaotic map increases the key space of the encryption system.