Visual steganalysis of LSB-encoded natural images

被引：0
|
作者：
Watters, PA [1 ]
Martin, F [1 ]
Stripf, HS [1 ]
机构：
[1] Macquarie Univ, Postgrad Prof Dev Program, Div Inormat & Commun Sci, N Ryde, NSW 2109, Australia
来源：
THIRD INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND APPLICATIONS, VOL 1, PROCEEDINGS | 2005年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Contemporary steganographic systems encode hidden messages inside the least significant bit layers of colour natural images. The presence of these messages is difficult to detect through statistical attacks. This study examined whether humans could detect steganography in natural images using a controlled 2AFC discrimination task. nile d'> 1 was observed for colour layers 3-8, Layer 1 had a negative d'. Thus, Layer 1 embedding is highly resistant to visual attack, since observers were more likely to indicate the presence of steganography in the control image than the embedded image.
引用
收藏
页码：746 / 751
页数：6
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