A Secure Biometric Identification Technique Using Spread Spectrum Audio Watermarking
2nd IEEE International Conference on Big Data Security on Cloud, IEEE BigDataSecurity 2016, 2nd IEEE International Conference on High Performance and Smart Computing, IEEE HPSC 2016 and IEEE International Conference on Intelligent Data and Security, IEEE IDS 2016, New York, Amerika Birleşik Devletleri, 9 - 10 Nisan 2016, ss.345-350, (Tam Metin Bildiri)
- Yayın Türü: Bildiri / Tam Metin Bildiri
- Doi Numarası: 10.1109/bigdatasecurity-hpsc-ids.2016.34
- Basıldığı Şehir: New York
- Basıldığı Ülke: Amerika Birleşik Devletleri
- Sayfa Sayıları: ss.345-350
- Anahtar Kelimeler: audio watermarking, biometric identification, keystroke dynamics, spread spectrum, Wavelet transform
- Boğaziçi Üniversitesi Adresli: Evet
Özet
A biometric digital audio watermarking algorithmis presented in this paper. Instead of a constant watermark, a biometric watermark that is unique to an individual isembedded into an audio. Keystroke Dynamics is chosen to stampthe ownership of an individual to the audio file. Constructedbiometric template is embedded into wavelet domain by usingfrequency hopping spread spectrum technique. Direct SequenceSpread Spectrum technique is implemented before embeddingprocess. The extraction of the biometric template is a blindprocess, in other words, original audio carrier is not requiredto extract the watermark. The experimental results illustratedthat the system is robust against the signal processing operationssuch as low-pass filter, adding white Gaussian noise, shearing, and compression. Furthermore, the audibility of this techniqueis in plausible values. After extraction of the biometric data, a biometric identification system is constructed. The correctidentification rates were presented.