Embedding Data into Audio Signal by Combining Sliding Window Technique with a Novel Marking Bit Method

Abstract

Abstract. Embedding data into audio signal is an interesting field and attracted by many scientists. It allows taking advantage of available transmission lines to transmit data with safety and high security. However, the biggest challenge while embedding data in the audio signal is to achieve a small embedding error (EE) and large signal-to-noise ratio (SNR). If EE is large and SNR is small, it is vulnerable to be tracked and attacked by enemies during transmitting embedded audio signals. In this paper, we have proposed to combine the sliding window technique with a novel marking bit method. The sliding window technique is used to find out the bit segment of the original audio signal coinciding with the bit segment of data needed to be embedded. After that, we mark the location of windows found by the coded bit, and overwrite the coded bit on the original audio signal at the appropriate locations. The experimental results show that the proposed method provides a better quality than using other embedded methods such as the LSB (Least Significant Bit), ELS (Embedding Large Sample) and without using sliding windows.

EB-CSPA: efficient blockchain-based certificateless short signature public auditing scheme for cloud-based cyber-physical systems

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