Publication

Abstract : Securing digital audio data during any transmission or storage is essential for ensuring privacy and confidentiality. Traditional encryption techniques like Advanced Encryption Standard (AES) offer high security, but they might be vulnerable to attacks that exploit encrypted data patterns. Cellular automata, on the other hand, exhibit complex and challenging behavior, making them attractive for introducing additional layers of security in encryption schemes. However, integrating these techniques effectively remains a challenge. This paper addresses this gap by proposing a novel audio encryption system that combines the features of AES and cellular automata. A pseudo-random number sequence produced by Rule 30, a chaotic cellular automaton rule, is XOR-ed with the AES-encrypted audio data. This disrupts potential pattern recognition attempts, significantly enhancing the overall security of the encryption process. The system operates on WAV format audio files and ensures the confidentiality and integrity of the data by preventing unauthorized access and manipulation. We evaluate the effectiveness of our approach by comparing the characteristics of original and encrypted audio files. The results demonstrate significant alterations in the audio data, rendering it unintelligible without the decryption key. Additionally, the system utilizes the well-established AES algorithm, maintaining efficiency during encryption and decryption. This system defeats other methods in terms of security, complexity, and computational efficiency making this a reliable and efficient method for securing audio data transmission and storage where audio privacy is essential.