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Closure of sets: a statistically hypersensitive system for steganalysis of least significant bit embedding

Closure of sets: a statistically hypersensitive system for steganalysis of least significant bit embedding

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This study introduces a new scheme for steganalysis of the least significant bit (LSB) embedding, based on the idea of closure of sets (CoS), which is independent of the type of cover signal, applicable to both spatial and transform domains. The CoS is referred to as some special subsets that could be found in a common space whose elements relate to higher-order statistical properties of the signal. The proposed scheme is used for steganalysis of the LSB steganography of greyscale TIFF and JPEG images and audio signals, employing a set of accurate and monotone features that are extracted based on the CoS definition. It is shown that significant improvement to the detection accuracy in steganalysis is achieved using the proposed scheme, particularly at low embedding rates.

Inspec keywords: feature extraction; steganography; image coding; audio coding; image colour analysis; transforms

Other keywords: spatial domain; least significant bit embedding; closure of sets; JPEG images; statistically hypersensitive system; transform domain; steganalysis; audio signals; monotone feature extraction; higher-order statistical property; greyscale TIFF images; least significant bit steganography

Subjects: Speech and audio coding; Integral transforms; Data security; Computer vision and image processing techniques; Image and video coding; Integral transforms; Cryptography

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http://iet.metastore.ingenta.com/content/journals/10.1049/iet-spr.2010.0048
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