Audio Encryption and Decryption under Elliptic Curve Cryptography and DNA Algorithm

Abstract

Secure audio transmission is crucial in military, telemedicine, and IoT multimedia, where confidentiality and integrity are vital. Traditional methods, such as RSA, are computationally intensive, while DNA cryptography is efficient but less secure. This paper proposes an audio encryption and decryption scheme using Elliptic Curve Cryptography (ECC). In the proposed method, a pair of audio signals is taken as plaintext, and corresponding sample points are combined into ordered pairs. Some points fall outside the elliptic curve and cannot be directly decrypted; these are preserved in a sparse vector. The encrypted vector and sparse vector are transmitted through a noiseless channel, and at the receiving end, they are combined to ensure complete recovery of the original signals. Appropriate ECC parameters are selected to minimize the number of ambiguous points, allowing for 100% accurate recovery. The performance of ECC is compared with RSA and DNA cryptography in terms of processing time and security level. Additionally, encryption rigidity is evaluated using cross-correlation, discrete wavelet transform (DWT) spectral analysis, and fuzzy entropy. Results demonstrate that ECC achieves the strongest security among the three approaches, albeit with higher processing complexity, whereas DNA is most suitable for real-time applications due to its efficiency.

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