Steganalysis attacks on stego-images using stego-signatures and statistical image properties

Tariq Al Hawi; Mahmoud Al Qutayri; Hassan Barada

Steganalysis attacks on stego-images using stego-signatures and statistical image properties

Tariq Al Hawi, Mahmoud Al Qutayri, Hassan Barada

Electrical Engineering

Research output: Contribution to conference › Paper › peer-review

11 Scopus citations

Abstract

This paper discusses a strategy for detecting hidden messages in stego-images in Internet traffic. The strategy adopts attacks that are based on both the signatures of the most popular steganographic techniques and some of the statistical parameters of the images being analyzed. A gradual approach for the attacks is applied since the speed with which detection is to be achieved is an important factor. An extensive set of images with different file format including JPEG, GIF and BMP, different cover and stego object sizes was processed and the results achieved indicate a high degree of success.

Original language	British English
Pages	B104-B107
State	Published - 2004
Event	IEEE TENCON 2004 - 2004 IEEE Region 10 Conference: Analog and Digital Techniques in Electrical Engineering - Chiang Mai, Thailand Duration: 21 Nov 2004 → 24 Nov 2004

Conference

Conference	IEEE TENCON 2004 - 2004 IEEE Region 10 Conference: Analog and Digital Techniques in Electrical Engineering
Country/Territory	Thailand
City	Chiang Mai
Period	21/11/04 → 24/11/04

Cite this

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title = "Steganalysis attacks on stego-images using stego-signatures and statistical image properties",

abstract = "This paper discusses a strategy for detecting hidden messages in stego-images in Internet traffic. The strategy adopts attacks that are based on both the signatures of the most popular steganographic techniques and some of the statistical parameters of the images being analyzed. A gradual approach for the attacks is applied since the speed with which detection is to be achieved is an important factor. An extensive set of images with different file format including JPEG, GIF and BMP, different cover and stego object sizes was processed and the results achieved indicate a high degree of success.",

author = "{Al Hawi}, Tariq and {Al Qutayri}, Mahmoud and Hassan Barada",

year = "2004",

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Steganalysis attacks on stego-images using stego-signatures and statistical image properties. / Al Hawi, Tariq; Al Qutayri, Mahmoud ; Barada, Hassan.
2004. B104-B107 Paper presented at IEEE TENCON 2004 - 2004 IEEE Region 10 Conference: Analog and Digital Techniques in Electrical Engineering, Chiang Mai, Thailand.

Research output: Contribution to conference › Paper › peer-review

TY - CONF

T1 - Steganalysis attacks on stego-images using stego-signatures and statistical image properties

AU - Al Hawi, Tariq

AU - Al Qutayri, Mahmoud

AU - Barada, Hassan

PY - 2004

Y1 - 2004

N2 - This paper discusses a strategy for detecting hidden messages in stego-images in Internet traffic. The strategy adopts attacks that are based on both the signatures of the most popular steganographic techniques and some of the statistical parameters of the images being analyzed. A gradual approach for the attacks is applied since the speed with which detection is to be achieved is an important factor. An extensive set of images with different file format including JPEG, GIF and BMP, different cover and stego object sizes was processed and the results achieved indicate a high degree of success.

AB - This paper discusses a strategy for detecting hidden messages in stego-images in Internet traffic. The strategy adopts attacks that are based on both the signatures of the most popular steganographic techniques and some of the statistical parameters of the images being analyzed. A gradual approach for the attacks is applied since the speed with which detection is to be achieved is an important factor. An extensive set of images with different file format including JPEG, GIF and BMP, different cover and stego object sizes was processed and the results achieved indicate a high degree of success.

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M3 - Paper

AN - SCOPUS:27944507950

SP - B104-B107

T2 - IEEE TENCON 2004 - 2004 IEEE Region 10 Conference: Analog and Digital Techniques in Electrical Engineering

Y2 - 21 November 2004 through 24 November 2004

ER -

Steganalysis attacks on stego-images using stego-signatures and statistical image properties

Abstract

Conference

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