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Visual detection of LSB-encoded natural image steganography

journal contribution
posted on 2023-05-16, 22:46 authored by Watters, P, Martin, F, Steffen Stripf, H
Many steganographic systems embed hidden messages inside the least significant bit layers of colour natural images. The presence of these messages can be difficult to detect by using statistical steganalysis. However, visual steganalysis by humans may be more successful in natural image discrimination. This study examined whether humans could detect least-significant bit steganography in 15 color natural images from the VisTex database using a controlled same/different task (N = 58) and a yes/no task (N = 61). While d' > 1 was observed for color layers 4-8, layers 1-3 had d' < 1 in both experiments. Thus, layers 1-3 appear to be highly resistant to visual steganalysis.

History

Publication title

ACM Transactions on Applied Perception

Volume

5

Pagination

1-12

ISSN

1544-3558

Department/School

School of Psychological Sciences

Publisher

Association for Computing Machinery, Inc

Place of publication

United States

Rights statement

Copyright 2012 ACM, Inc.

Repository Status

  • Restricted

Socio-economic Objectives

Expanding knowledge in psychology

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