Izvorni znanstveni članak
https://doi.org/10.24138/jcomss-2025-0105
Audio Encryption and Decryption under Elliptic Curve Cryptography and DNA Algorithm
Md. Imdadul Islam
; Jahangirnagar University, Savar, Dhaka-1342
Samsun Nahar Khandakar
; Jahangirnagar University, Savar, Dhaka-1342
*
Nadia Afrin Ritu
; Jahangirnagar University, Savar, Dhaka-1342
Md. Masum Bhuiyan
; Jahangirnagar University, Savar, Dhaka-1342
Sarwar Jahan
; Jahangirnagar University, Savar, Dhaka-1342
* Dopisni autor.
Sažetak
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.
Ključne riječi
Sparse Sample; Cross-Correlation; Fuzzy Entropy; RSA; DWT; Spectrogram
Hrčak ID:
348535
URI
Datum izdavanja:
31.3.2026.
Posjeta: 0 *