A Novel Lorenz-Rossler-Chan (LRC) Algorithm for Efficient Chaos-Based Voice Encryption

In recent years, many proposed algorithms have been used to enhance the performance of voice encryption over public communication channels. This paper introduces the novel Lorenz-Rossler-Chan (LRC) algorithm for voice encryption using three chaotic system generators: Lorenz, Rossler, and Chen. The LRC chaotic system combines cascaded chaotic signals from these generators to enhance encryption performance and increase the key space. The simulation results demonstrate the effectiveness of the LRC algorithm. Encrypted voice signals exhibit significantly negative signal-to-noise ratio (SNR), and zero correlation values showcase negligible similarities, highlighting a substantial difference between the original and encrypted voice signals, indicating robust encryption. The proposed LRC algorithm is also well suited for real-time applications because of its minimal time delay during encryption and decryption, which further hinders decryption. With a key space of approximately 1196 bits, the LRC algorithm has strong security.