Sharp development progress of information technology has affected many aspects including data security. This is because classified data are often transferred between systems. In this case, data hiding exists to protect such data. Some methods which have been proposed, however, are not yet optimal concerning the amount of the secret and the quality of the resulted stego data. In this paper, we explore an audio file as the medium to carry the secret data which has been extracted into binary. Before the process begins, the cover is converted to binary and each sample’s bits are divided into two groups, one is used as the location of the embedded 4 bits whereas the second part locates the two bits that are randomly selected as the key. The experimental results have validated that the capacity is high and there is no much impact on the quality. Moreover, compared to the current LSB methods the security is exceedingly enhanced.
Transmitting information via public networks is prone to illegal attacks. Thus, data hiding is a suitable aspect that is useful to assure information security. Nowadays, multimedia tempering becomes the most variety problem that occurs on public networks. Audio steganography methods aim to hide secret data in an audio file called cover. Many methods in the time domain can hide large data (payload) with relatively low robustness. On the other hand, transformed based frequency algorithms can be more robust but the recovery of the cover audio is not guaranteed. In this paper, we investigate the time and frequency domains and tend to bridge gaps in the area of data hiding with the frequency transformation methods. In addition, we propose a new reversible audio data hiding based on Discrete Cosine Transform (DCT) and location maps. This kind of map helps to fully recover both the secret message and the cover file from the stego where the frequency sample values are increased or decreased by 10 in correspondence with the intended bit to be embedded. The experimental results prove that this method is able to hide high payload, and it is also robust since it guarantees 100% the reversibility of both the secret message and the cover audio file. The quality measured by Signal-to-noise ratio (SNR) is approximately 75 dB, Normalized Correlation (NC) value is 1.000, and Bit Error Rate (BER) is around 0.006. Additionally, this method is able to maintain the quality and invisibility, which may not be achieved by some previous research.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.