Lossless Audio Steganography in Spatial Domain (LASSD)

Pal, Dipankar; Goswami, Anirban; Ghoshal, Nabin

doi:10.1007/978-3-642-35314-7_65

Cited by 3 publications

(5 citation statements)

References 4 publications

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“…Also a comparative study has been done with LASSD [8] in terms of Signal-toNoise Ratio (SNR) and Peak Signal-to-Noise Ratio (PSNR) analysis.…”

Section: Resultsmentioning

confidence: 99%

“…A function f (x, y) [8] has been devised to generate 2-bit pseudorandom values to dynamically determine positions for embedding/extraction of message bits. Here, x is a Boolean variable and its value is deduced from the cover audio signal, whereas, y is a positive integer variable and its value may range between 0 and 7, which is derived from the payload data.…”

Section: Generation Of Pseudo-random Positionmentioning

confidence: 99%

“…Using appropriate algorithm, it is possible to change the individual bits of a digital audio file, but this change in the binary sequence is not discernible to the human ear. In one of the earlier works by the authors [8] a technique had been proposed that hides different types of information (image, text or audio) in a cover audio signal with enhanced security and greater imperceptibility than other similar techniques. This paper presents a method that extends that idea with increased capacity and robustness against certain attacks.…”

Section: Introductionmentioning

confidence: 99%

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A Robust Audio Steganographic Scheme in Time Domain (RASSTD)

Pal¹,

Ghoshal²

2013

IJCA

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Digital Steganograpic techniques hide secret messages in a cover media (mostly image, audio or video) in an imperceptible manner which cannot be detected by unintended recipient. In addition to imperceptibility, security, capacity and robustness are the other major challenges for an effective steganographic technique. This article proposes a novel steganographic method, considering maximum secrecy, high capacity and robustness against certain attacks. The method utilizes uncompressed digital audio signals as the carrier and hides different types of digital payloads (image/text/audio) in the time domain. In the process of embedding multiple payload bits (either 2 bits or 3 bits) are embedded in each of the sample values at pseudo-random positions. The pseudo-random positions are generated using a logical expression which is devised as a function of both the cover and the payload involved to make the algorithm inherently robust against potential collusion attacks. Various objective and subjective metrics have been used to measure the performance of the proposed technique. Also test results have been presented to analyse its robustness against white noise and collusion attack.

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“…Also a comparative study has been done with LASSD [8] in terms of Signal-toNoise Ratio (SNR) and Peak Signal-to-Noise Ratio (PSNR) analysis.…”

Section: Resultsmentioning

confidence: 99%

Section: Generation Of Pseudo-random Positionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Robust Audio Steganographic Scheme in Time Domain (RASSTD)

Pal¹,

Ghoshal²

2013

IJCA

Self Cite

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“…The carrier audio signal's original characteristics are kept unchanged. In their research the pseudorandom positions have been generated using the devised hash function in order to insert or extract the secret bits [8]. Pooja P. Balgurgi and Sonal K. Jagtap in their paper presented comprehensive survey of few audio steganography techniques to hide data is one of the most effective way of audio data hiding in order to protect privacy [9].…”

Section: Related Workmentioning

confidence: 99%

Safe Transmission of Text Files through a New Audio Steganography Technique

Punetha

Kumar

Bhattacharya

et al. 2014

2014 2nd International Symposium on Computational and Business Intelligence

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Steganography is a concept of hiding information in order for data to remain safe and unhandled by eve droppers. In this paper we are demonstrating a way to transmit data from sender to receiver without being handled by eve through a new technique of steganography. We are using an audio file for hiding our data as audio are very less judged to changes made to them. Audio files in wav form are represented as values of amplitude with given sample rate. The technique is to read the file to be sent in binary form. It has been done by taking corresponding pairs of local maxima and minima of amplitude for the audio file and uplift or depress the values between these pairs depending on whether we have a zero or one in the file to be sent to the sender. Other than that the file to be sent is locked with a password. We compare this file with the original and then the difference in amplitude values between pairs of maxima and minima give us the corresponding binary bit of the file, thus regenerating the file at the receiver using the password which is sent to the receiver separately. For that, first the receiver sends his own transformed voice through a channel with sender knowing about the changes done to it. The sender makes a copy of this transformed voice and gets the original voice by making all changes that receiver has done. In that transformed voice sender attaches the password of the file through steganography technique used here and the password to unlock it is, receivers own original voice. The steganography technique used here and the way to generate new passwords are novel approach. The proposed methodology is very safe for text file transmission.

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“…Additionally, two-dimensional security system can be created by deploying both steganography and cryptography mechanisms together. For example, Pal et al proposed an advanced LSB algorithm within audio files for secure transmission [1].…”

mentioning

confidence: 99%

Steganalysis On Audio Data Through Probabilistic Neural Network Using An Ideal Bias

2014

International Conference on Computer Science and Information Systems (ICSIS’2014) Oct 17-18, 2014 Dubai (UAE)

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In this study, we have developed a new steganalysis method that combines both Chi-square and Probability Neural Network (PNN) techniques. We have tested our steganalysis method on digital audio files. The stego files under test have been assumed to contain a secret data file embedded by an unknown steganography method, which is Least Significant Bit (LSB) method in our test environment. The method developed first analyzes the LSB bits in cover audio files then obtained intermediate data are applied to PNN to achieve more realistic results. While most steganalysis methods focuses on only detection of secret data, our method can also determine the rate of secret data. The obtained results have been further optimized as real as possible by the help of a PNN supported by an ideal bias selection mechanism.

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Lossless Audio Steganography in Spatial Domain (LASSD)

Cited by 3 publications

References 4 publications

A Robust Audio Steganographic Scheme in Time Domain (RASSTD)

A Robust Audio Steganographic Scheme in Time Domain (RASSTD)

Safe Transmission of Text Files through a New Audio Steganography Technique

Steganalysis On Audio Data Through Probabilistic Neural Network Using An Ideal Bias

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