Abstract
The development of coding schemes with the capacity to simultaneously encrypt and compress audio signals is a subject of active research because of the increasing necessity for transmitting sensitive audio information over insecure communication channels. Thus, several schemes have been developed; firstly, some of them compress the digital information and subsequently encrypt the resulting information. These schemas efficiently compress and encrypt the information. However, they may compromise the information as it can be accessed before encryption. To overcome this problem, a compressing sensing-based system to simultaneously compress and encrypt audio signals is proposed in which the audio signal is segmented in frames of 1024 samples and transformed into a sparse frame using the discrete cosine transform (DCT). Each frame is then multiplied by a different sensing matrix generated using the chaotic mixing scheme. This fact allows that the proposed scheme satisfies the extended Wyner secrecy (EWS) criterion. The evaluation results obtained using several genres of audio signals show that the proposed system allows to simultaneously compress and encrypt audio signals, satisfying the EWS criterion.
Highlights
The large amount of digital information transmitted over unsecure channels has led to the necessity of developing efficient schemes for increasing the amount of information transmitted over the existing unsecure communication channels, as well as improving the security of the transmitted information
Taking in account the requirements described above, this paper proposes a compression-encryption system based on compressive sensing (CS), in which the audio signal is firstly segmented into L non overlapping frames of
This paper presents a CS-based encoding system for jointly encrypting and compressing audio signals
Summary
The large amount of digital information transmitted over unsecure channels has led to the necessity of developing efficient schemes for increasing the amount of information transmitted over the existing unsecure communication channels, as well as improving the security of the transmitted information. The incoming audio signal X(k) is segmented in frames of “n” samples, which are encrypted with a compression rate of n/m, where m is the number of samples in the compressed frame, using a CS approach To this end, firstly, the user inserts the values n and m into the encoder stage together with three secret keys k1 , k2 , and k3 provided by the user, which are used to estimate the sensing matrix in the transmission stage. Because these secret keys are required for estimation of the sensing matrix in the decoder stage, they are transmitted to the receiver side encrypted using the Rivest, Shamir, and Adleman (RSA) public key algorithm This allows that the proposed system operates in a multiuser form and even with different frame sizes and compression rates for each possible user. Following sections provide a description of each stage of the proposed system
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