Novel Technique for Improving Bluetooth Networks Security Through SVD-Based Audio Watermarking

In this paper, we try to improve the security of image transmission over IEEE 802.15.1 Bluetooth networks. We propose a new approach for audio watermarking using the singular value decomposition (SVD) mathematical technique. This approach is based on embedding the encrypted image in the singular values of the audio signal after transforming it into a 2D format. After watermark embedding, the audio signal is transformed again into a 1-D format. The 1-D audio signal is segmented to Bluetooth packet payload length. This leads to the needs of fragmenting of the image into small fragments. At the receiver the segments are recollected to construct the watermark signal. The final step is extracting the image. Experimental results show that the proposed audio watermarking approach maintains the high quality of the audio signal and that the watermark extraction and decryption are possible. Keywords-Audio Watermarking, IEEE 802.15.1 (Bluetooth Technology), SVD, Fading channel, Copyright Protection.