Proposed approach for improving Bluetooth networks security through SVD audio watermarking

Some of applications need multi-level security. The paper proposes a novel approach IEEE 802.15.1 Bluetooth network to provide better secure link for essential applications. It proposes 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. That leads to the needs of fragmentation of the image to small segments. In the proposed technique the chaotic encryption is used for encrypt the image. It improves the quality of extracted images as proved experimentally, where it resists the noise and different attacks. The paper uses two type of Bluetooth packets (2DH1 and 2DM1), uncoded Enhanced Data Rate (EDR) and encoded EDR packets respectively. At the receiver the segments are recollected to construct watermark signal. The final step is extracting the image. Experiments of the simulation are carried over fading channel. 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.