Abstract
For years, people have devised different techniques for encrypting data while others have attempted to break these encrypted codes. Steganography is a technique that allows one to hide data within an image, audio, or video. Imperceptibility of noise is an important issue for any steganographic technique. For this reason, we have proposed a new audio steganographic approach without considering the sample value less than 50 Hz and above 5000 Hz, because this range is highly sensible by ear as per biological phenomenon. The novelty of our work is that we have embedded the matching position value (determined from audio sample value itself) in 4 least significant bits rather than direct message bits flipping. Rather than performing sequential embedding, samples are selected nonsequentially based on audio feature itself that helps to withstand statistical attacks. Blind audio steganalysis techniques are hardly found—most of them are either algorithm specific or useful for bit-flipping data hiding scheme. In this context, unlike most common message bit flipping techniques, a novel bit matching and position concealment procedure has been proposed. Satisfactory theoretical and experimental outcomes have been achieved.
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Mukherjee, N., Paul, G., Saha, S.K. (2020). A Novel Position Concealment Audio Steganography in Insensible Frequency. In: Behera, H., Nayak, J., Naik, B., Pelusi, D. (eds) Computational Intelligence in Data Mining. Advances in Intelligent Systems and Computing, vol 990. Springer, Singapore. https://doi.org/10.1007/978-981-13-8676-3_33
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DOI: https://doi.org/10.1007/978-981-13-8676-3_33
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