Steganography in Audio Using Wavelet and DES

2013

Flood of multimedia contents in the structure of transmitted data rapid growth of Internet users and the increasing range of data types emphasize the security problem. The data Encryption system is used for hiding data by supervised trained dictionary. It involves concealing the secret text inside the cheating text. Then cheating text is hiding in Audio file. If the cheating text is intercepted, the secret text may still be undetected. There are many reasons to hide data but most important is to prevent unauthorized persons from becoming aware of the existence of a message. Hidden message is information that is not immediately noticeable, and that must be discovered or uncovered and interpreted before it can be known. We propose a novel approach for generating cheating text and hiding cheating text in audio file this high capacity audio algorithm based on the wavelet packet transform with adaptive hiding in least significant bits. The adaptive hiding is determined depend on the cover signal strength and bits block matching between message and cover signals.

Journal of emerging technologies and innovative research, 2018

Abstract: In the current internet scenario, secure data transmission is limited due to its attack, interception and manipulation by eavesdropper. So more robust methods are required to ensure data transmission. One solution to the above problem is steganography, which is the art and science of writing message in such a way that no one can detect the existence of the hidden message. Audio steganography hide the secret message in cover audio file in an undetectable way. This paper proposes a method MAES (Modified Advance Encyption Standard) advance 3 levels LSB embedding technique with secret data. The main objective of the proposed system is to provide high audio quality, robustness, high embedded bit rate and computed using PSNR, MSE values for various audio signals.

There are various approaches for protecting digital data, and one of them is steganography. In this study we use LSB and RSA to make the system. The RSA algorithm is employed as a cover for audio steganography, and the LSB technique is used to embed the hidden data in this study. The audio file is sampled to a binary format, and then an appropriate bit of each sample is changed to embed the textual information in the audio file, which is subsequently encrypted using the RSA algorithm for greater security. This research strategy is based on the successful combination of RSA and audio steganography to boost security while sending secret data messages across diverse networks.

International Journal of Computer Applications, 2019

Steganography is the art of hiding information in ways that prevent the detection of hidden messages. It includes a vast array of secret communications methods that conceal the message's very existence. These methods include invisible inks, microdots, character arrangement, digital signatures, covert channels, and spread spectrum communications. In this research we have proposed a simple and effective way to hide data in audio file with 256 bit AES encryption based on Least Significant Bits technique. This approach can hide not only text message but also any type of files currently used e.g. .jpg, .pdf, .mp3, mpeg4 etc in a wav audio file.

International Journal of Computer Network and Information Security, 2015

Steganography is the art of amalgamating the secret message into another public message which may be text, audio or video file in a way that no one can know or imperceptible the existence of message. So, the secret message can send in a secret and obscure way using steganography techniques. In this paper, we use the audio steganography where the secret message conceal in audio file. We use audio rather than image because the human auditory system (HAS) is more sensitive than human visual system (HVS). We propose an audio steganography algorithm, for embedding text, audio or image based on Lifting Wavelet Transform (LWT) transform with modification of Least Significant Bit (LSB) technique and three random keys where these key is used to increase the robustness of the LSB technique and without it no one can know the sort of secret message type, the length of the secret message and the initial position of the embedded secret message in LSB. The performance of our algorithm is calculated using SNR and we compare the values of our proposed method with some known algorithms.

2022

Security is the major challenge of digital communication. Cryptography and steganography are two common methods available to ensure security.Steganography is the term used to hide secret messages in a text, audio or image file.Modern methods are necessary to keep information secret and to protect it from the growing danger of external hackers.Steganography makes it possible to transmit information through communication channels. In this work we have focused on digital audio as the carrier and cover file. Audio steganography is a method to safely conceal a secret message into an audio cover file in various ways.The audio files are in the standard WAV format, in which the secret message is embedded by using the LSB algorithm. The secret message gets encrypted using the RSA algorithm before the embedding process. This combination is providing two level security to the secret message to be transmitted.

Watermarking has been proposed as a solution to the problem of resolving Copyright ownership of multimedia data (image, audio, video). The work presented in this thesis is concerned with the design of robust digital image watermarking algorithms of least significant bit (LSB) algorithm for copyright protection and similarly the voice is compressed by using linear predictive code (LPC) algorithm, It is one of the most powerful speech analysis techniques, and one of the most useful methods for encoding good quality speech at a low bit rate and provides extremely accurate estimates of speech parameters. Finally hide the watermarked image and compressed voice by using Steganographic method. Steganography is an art of sending hidden data or a secret message over a public channel so that a third party cannot detect the presence of the secret message. Firstly, an overview of the watermarking system, applications of watermarking and attacks, are given. The robustness of the data is very important issue in watermarking. The watermarking algorithm which requires the presence of original image for watermark detection.

EURASIP Journal on Audio, Speech, and Music Processing, 2012

A new method to secure speech communication using the discrete wavelet transforms (DWT) and the fast Fourier transform is presented in this article. In the first phase of the hiding technique, we separate the speech high-frequency components from the low-frequency components using the DWT. In a second phase, we exploit the low-pass spectral proprieties of the speech spectrum to hide another secret speech signal in the low-amplitude high-frequency regions of the cover speech signal. The proposed method allows hiding a large amount of secret information while rendering the steganalysis more complex. Experimental results prove the efficiency of the proposed hiding technique since the stego signals are perceptually indistinguishable from the equivalent cover signal, while being able to recover the secret speech message with slight degradation in the quality.

In this paper, a robust substitution technique is used to implement proposed work of audio steganography. Steganography is an art and science methodology of writing hidden messages such a way that no one apart from the intended reciever knows the existence of the secret message data. This technique resolves the various inherent issues ,after that it increases the data hiding capacity while being also achieve robustness from various intentional as well as unintentional hacking attacks.like this it provides privacy to data. The strength of our algorithm is depend on the segment size and its used to achieve very high embedding capacity for different data type that can reach up to 25% from the input audio file size.We are developing two novel approaches of substitution technique of audio steganography that improves the capacity of cover audio which for embedds additional data. Using these methods, messages are embedded into multiple LSB bits. This technique utilizes up to 7 LSBs for embedding data. Results show that both these techniques improve data hiding capacity of cover audio by 25% to 85% These latest approaches for increasing capacity show better results as compared to the existing techniques.

2016 18th International Conference on Advanced Communication Technology (ICACT), 2016

Steganography is the art of science dealing with hiding secret data inside image, audio, video or text files. In audio steganography; secret message is embedded in the digital sound by slightly altering the binary sequence of the sound file. Existing audio steganography software deal with WAV, AU, and even MP3 sound files. Embedding secret messages in the digital sound is usually a more difficult process than embedding messages in other forms, such as digital images. Audio steganography uses different algorithms, but (LSB) least significant bit is applied in this paper. The quality of sound is depended on the size of the audio which the user selects and length of the message.