Adaptive and efficient audio DataHiding method in temporal domain

Delforouzi, Ahmad; Pooyan, Mohammad

doi:10.1109/icics.2009.5397486

Cited by 5 publications

(2 citation statements)

References 14 publications

(19 reference statements)

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“…Complexity: Hiding algorithms consumes time in performing hide/de-hide process and this depends on the complexities of the algorithm. Secret data should be rapidly embedded/extracted into/from the host file, so that streaming data hiding real time can be delivered over the network (Delforouzi and Pooyan, 2009).…”

Section: Robustness and Securitymentioning

confidence: 99%

A Review on Audio Steganography Techniques

Ali¹,

MohdRosmadiMokhtar²,

George³

2016

RJASET

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The aim of this study is to present different types of steganography in brief and to give a special attention to audio steganography technique because a huge number of audio files are exchanged through the networks. Nowadays the widening of attacker's abilities to access the private and public information transmitted over public communication system makes way for highlighting a tool that guarantees the secure transmission of hidden information. Information hiding was a common security term that mainly includes three techniques: cryptography, steganography and watermark. Cryptography was an ancient form that is used for confidential data. Steganography is a popular tool that uses digital medium to hide confidential data in innocent carrier such as image, audio, text and video. Steganography is in fact a complement for the earlier data hiding technique cryptography. However watermark is used for copyright protection. Audio steganography is technique that hides any type of secret data in cover audio file. This study also discusses the main requirements of steganography methods and how those methods achieve them. Furthermore it shows steganography domain and, carriers and information hiding techniques used in audio.

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Section: Robustness and Securitymentioning

confidence: 99%

A Review on Audio Steganography Techniques

Ali¹,

MohdRosmadiMokhtar²,

George³

2016

RJASET

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“…This paper is implemented in temporal domain. Ahmad Delforouzi and Mohammad Pooyan [8] proposes an algorithm which embeds secret data in temporal domain. In this algorithm first embedding threshold in the time domain is estimated.…”

Section: Literature Surveymentioning

confidence: 99%

Data Hiding in Audio Signals Using Wavelet Transform with Enhanced Security

Deepti

Renuka²,

Hemalatha³

2013

Computer Science &Amp; Information Technology ( CS &Amp; IT )

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Information Hiding in Audio Steganography using LSB Matching Revisited

Shanthakumari¹,

Devi²,

Rajadevi³

et al. 2021

J. Phys.: Conf. Ser.

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Audio file steganography can be used as an effective and efficient method to hide messages. LSB based approach is the simplest steganographic technique among the various types for hiding secret information in audio formats. The approach is decided independent of the relationship between audio samples and the size of the secret messages. Efficiency of the output message is reduced when low data rate is used for hiding the message in lower power audio samples. The performance of data hiding in high power of audio is discussed in this paper. To identify the higher frequency, range from a given sample carrier and to hide the messages in the identified range, the LSBMR algorithm is used. The carrier wave is pre-processed in order to reduce the possibilities of intrusion detection. Experimentation of the adaptive steganography is performed on the files that are in. wav format. PSNR and MSE parameters are used for performance analysis. The threshold value of the audio carrier is depending upon the length of the message is used. The content of the secret information and threshold value of the carrier audio decides the number of samples for evaluation.

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Adaptive and efficient audio DataHiding method in temporal domain

Cited by 5 publications

References 14 publications

A Review on Audio Steganography Techniques

A Review on Audio Steganography Techniques

Data Hiding in Audio Signals Using Wavelet Transform with Enhanced Security

Information Hiding in Audio Steganography using LSB Matching Revisited

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