Title :
Visual steganalysis of LSB-encoded natural images
Author :
Watters, Paul A. ; Martin, Frances ; Stripf, H. Steffen
Author_Institution :
Inf. & Commun. Sci. Div., Macquarie Univ., NSW, Australia
Abstract :
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. While d´>l 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.
Keywords :
cryptography; data encapsulation; image coding; natural scenes; LSB-encoded natural images; colour natural images; contemporary steganographic systems; control image; controlled 2AFC discrimination; embedded image; hidden message encoding; least significant bit layers; statistical attacks; steganography; visual attack; visual steganalysis; Communication system control; Cryptography; History; Humans; Image coding; Internet; Motion pictures; Psychology; Steganography; Terrorism;
Conference_Titel :
Information Technology and Applications, 2005. ICITA 2005. Third International Conference on
Print_ISBN :
0-7695-2316-1
DOI :
10.1109/ICITA.2005.308