Joint Encryption and Compression of Audio Based on Compressive Sensing

The increasing amount of sensible information transmitted through insecure communications channels requires, the development of algorithms with the capacity of simultaneously compress and encrypt digital information. To solve this problem, this paper proposes an algorithm based on compressing sensing, which simultaneously compress and encrypt audio signals. In the proposed scheme the audio signal is segmented in frames of 1000 samples which are then transformed in sparse frames using the DCT. Next each sparse frame is compressed using a different sensing matrix in each frame, to assure that the proposed system satisfies the Extended Wyner Secrecy (EWS) criterion. Evaluation results show that the proposed scheme allows the secure communication of audio signals.