Visual steganalysis of LSB-encoded audio data based on frequency domain characteristics
Pages 359 - 362
Abstract
Steganography is an art and science of information hiding. Text, audio and image files are usually used as cover data. Then, a secret message is embedded into these cover data that no one knows about it except sender and receiver. Mostly used methods for audio steganography are based on Least Significant Bit (LSB) method and its derivatives in the literature. Steganalysis is a methodology of detecting messages hidden using steganography. In this paper, a visual steganalysis method has been proposed. Secret text messages can be detected by using frequency domain characteristics of stego audio data which contain text messages. Experimental results show that if stego object contains text messages and it is encoded by LSB or its varieties, some remarkable changes can be observed in frequency domain characteristics and its spectrogram. Thanks to exploring these frequency domain characteristics of stego objects, steganalysis (stego text detection) on audio data can be visually realized.
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Index Terms
- Visual steganalysis of LSB-encoded audio data based on frequency domain characteristics
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Published In
November 2013
483 pages
ISBN:9781450324984
DOI:10.1145/2523514
- General Chairs:
- Atilla Elçi,
- Manoj Singh Gaur,
- Mehmet A. Orgun,
- Oleg B. Makarevich
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- Macquarie U., Austarlia
- MNIT: Malaviya National Institute of Technology
- Aksaray Univ.: Aksaray University
- SFedU: Southern Federal University
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 26 November 2013
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SIN '13
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- MNIT
- Aksaray Univ.
- SFedU
SIN '13: The 6th International Conference on Security of Information and Networks
November 26 - 28, 2013
Aksaray, Turkey
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