EEG-Based Encryption of Audio Signals Using a Bio-Inspired Nonlinear Oscillator
9th International Conference on Scientific and Academic Research-ICSAR 2026, Konya, Türkiye, 6 - 07 Temmuz 2026, cilt.1, sa.1, ss.1-5, (Tam Metin Bildiri)
- Yayın Türü: Bildiri / Tam Metin Bildiri
- Cilt numarası: 1
- Basıldığı Şehir: Konya
- Basıldığı Ülke: Türkiye
- Sayfa Sayıları: ss.1-5
- Van Yüzüncü Yıl Üniversitesi Adresli: Evet
Özet
Nonlinear dynamical systems have been extensively employed in secure communication and information encryption owing to their high sensitivity to initial conditions, unpredictability, and complex dynamic behavior. These characteristics enable the generation of highly random sequences that are well suited for cryptographic applications. Electroencephalographic (EEG) signals, which reflect the electrical activity of the human brain, inherently exhibit nonlinear and nonstationary characteristics, making them a promising source for enhancing encryption security through biometrically driven key generation. In this study, a novel bio-inspired nonlinear oscillator incorporating EEG bio-signals is proposed for secure audio signal encryption. Unlike conventional chaotic oscillators, such as the Chua, Lorenz, and Sprott systems, which rely solely on mathematical formulations, the proposed oscillator integrates physiological EEG dynamics to generate unique nonlinear signals for the encryption process. The resulting chaotic outputs serve as encryption keys for audio signals, providing enhanced randomness, increased key sensitivity, and improved resistance against cryptanalytic attacks. The proposed approach combines the advantages of nonlinear chaos and physiological biometrics to establish a secure and robust audio encryption framework. The experimental results demonstrate that the proposed EEG-driven nonlinear oscillator effectively encrypts audio signals while improving security performance through its biometrically dependent chaotic behavior.