Abstract
Audio Steganography is a technique to hide data inside an audio file of type WAV, MIDI, AVI, MPEG, and MP3 files. Audio Files have acted as a cover for secretly communicating multimedia files (text, images, audio, and video). Least Significant Bit Algorithm (LSB) is the standard and traditional algorithm in audio steganography. The patient’s medical record is in the text file concealed in an audio file of type WAV using the LSB algorithm. The resulting stego audio file is exchanged within or outside the organization to facilitate the remote diagnosis with security and imperceptibility. Merging audio steganography with IoT enhances secured communication in medical records with confidentiality and integrity. The similarity within the cover and stego audios is measured using normalized cross-correlation. Mean Squared Error (MSE), Peak signal-tonoise ratio (PSNR), and Bit Error Rate (BER) performance metrics evaluate the distortion within the cover audio and stego audio files. The Audio Steganography utilizing IoT with Telemedicine model surpasses stego audio clearness with an average PSNR of 34.5dB and a lower BER of 0.00035
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