Securing audio transmission based on encoding and steganography

Abstract

One of the things that must be considered when establishing a data exchange connection is to make that communication confidential and hide the file’s features when the snoopers intercept it. In this work, transformation (encoding) and steganography techniques are invested to produce an efficient system to secure communication for an audio signal by producing an efficient method to transform the signal into a red–green–blue (RGB) image. Subsequently, this image is hidden in a cover audio file by using the least significant bit (LSB) method in the spatial and transform domains using discrete wavelet transform. The audio files of the message and the cover are in *.wav format. The experimental results showed the success of the transformation in concealing audio secret messages, as well the remarkability of the stego signal quality in both techniques. A peak signal-to-noise ratio peak signal-to-noise ratio (PSNR) scored (20-26) dB with wavelet and (81-112) dB with LSB for cover file size 4.96 MB and structural similarity index metric structural similarity index metric (SSIM) has been used to measure the signal quality which gave 1 with LSB while wavelet was (0.9-1), which is satisfactory in all experimented signals with low time consumption. This work also used these metrics to compare the implementation of LSB and WAV.

Hiding scrambled text messages in speech signals using a lightweight hyperchaotic map and conditional LSB mechanism

“…The LSB embedding algorithm replaces the LSBs of the cover multimedia with the bit stream of the scrambled text to be hidden [ 2 ]. Due to the noise present in the multimedia, this process only changes the least significant bits of the original multimedia, and never the most significant bits (MSBs) [ 5 ]. This approach uses a maximum data transfer rate of 1 kbps per 1 kHz, which means that one LSB covers one bit of hidden data.…”

“…Currently, the most frequent application of steganography is to hide one digital file within another [ 5 ]. In general, stego-data hiding requires three distinct characteristics that primarily act at the application level: security, capacity, and resilience.…”

“…Depending on the type of cover object, steganography technologies can be divided into five types: image, video, network, text, and audio steganography [ 2 , 5 ]. The hidden data that can be inserted into the cover media depends on the perceptual redundancy of the human organs and the statistical redundancy of the digital medium [ 8 , 9 ].There has been a great deal of interest in hiding data information in audio signals [ 10 , 11 ], as these contain significantly more redundant data than other types [ 12 – 15 ]; however, as the human auditory system (HAS) is very sensitive to slight variations in sound signals, hiding data in an audio cover is more difficult than in other types of covers (images, texts) [ 9 , 13 , 16 – 19 ].…”

Provably secure and efficient audio compression based on compressive sensing

“…where 𝑐1=(Z1𝐿) 2 , and 𝑐2=(Z2𝐿) 2 are both constant to avoid null dominator; L is the high range of the signal sample values; Z1 and Z2 have default values of 0.01 and 0.03, respectively. The identical score between the two measured signals is 1, decreasing to -1 as the signal changes [34]. See Table 3.…”

Video steganography using 3D distance calculator based on YCbCr color components

“…2, November 2021: 831 -842 832 and at the same time, it is difficult to obtain the contents of the hidden message. If the doubt is lifted, the goal of that entire process is not achieved, and the science of steganography becomes useless [4], [11], [12], [16], [19], [23], [25], [33], [35]- [50].…”