Multiple masks based pixel comparison steganalysis method for mobile imaging

Sos S. Agaian; Gilbert L. Peterson; Benjamin M. Rodriguez

doi:10.1117/12.666385

2 May 2006 Multiple masks based pixel comparison steganalysis method for mobile imaging

Sos S. Agaian, Gilbert L. Peterson, Benjamin M. Rodriguez

Author Affiliations +

Proceedings Volume 6250, Mobile Multimedia/Image Processing for Military and Security Applications; 625005 (2006) https://doi.org/10.1117/12.666385
Event: Defense and Security Symposium, 2006, Orlando (Kissimmee), Florida, United States

Abstract

Steganalysis has many challenges; which include the accurate and efficient detection of hidden content within digital images. This paper focuses on the development of a new multi pixel comparison method used for the detection of steganographic content within digital images transmitted over mobile channels. The sensitivity of detecting hidden information within a digital image can be increased or decreased to determine if slight changes have been made to the digital image for the target of blind steganalysis. The key thought of the presented method is to increase the sensitivity of features when alterations are made within the bit planes of a digital image. The differences between the new method and existing pixel comparison methods are; multiple masks of different sizes are used to increase the sensitivity and weighted features are used to improve the classification of the feature sets. Weights are also used with the various pixel comparisons to ensure proper sensitivity when detecting small changes. The article also investigates the reliability of detection and estimation length of hidden data within wireless digital images with potential for military applications emphasizing on defense and security.

Citation Download Citation

Sos S. Agaian, Gilbert L. Peterson, and Benjamin M. Rodriguez "Multiple masks based pixel comparison steganalysis method for mobile imaging", Proc. SPIE 6250, Mobile Multimedia/Image Processing for Military and Security Applications, 625005 (2 May 2006); https://doi.org/10.1117/12.666385

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

;

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE