Blind digital speech watermarking using filter bank multicarrier modulation for 5G and IoT driven networks

Abstract

Today’s world is a domain of Social Networks with millions of people sharing valuable information over the Internet. In the future wireless networks like 5G, it is estimated that 20 billion devices will be connected with the internet (IoT). Therefore, there are certain issues related to the privacy and security of a user while sharing information through a social network especially when the shared information carries multimedia content like images, video, audio/speech. The security issues such as integrity and data authentication can be fulfilled using various Digital Watermarking Techniques. In this paper a new technique of Speech Watermarking (Least-Significant-Bit substitution) using Filter Bank Multicarrier Modulation (FBMC) Technique for 5G networks is proposed and implemented. The technique has been implemented in MATLAB on a test recorded speech signal against various signal processing modifications (FBMC and Additive White Gaussian Noise). Experimental results reveal that the proposed technique in spite of various attacks allows to retrieve embedded watermark efficiently with less Bit Error Rate and better audio quality of the received speech signal.