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Sung Deok Cha, Gum Hen Park, Heung Kyu Lee. Solution to the On-Line Image Downgrading Problem, (A), Annual Computer Security Applications Conference '95, Dec. 13-15 . 1995. pp. 108-112.

 



ABSTRACT: Kurak and McHugh recently identified on-line image downgrading problem as a potentially serious source of security vulnerability and convincingly demonstrated that visual inspection alone may be ineffective in detecting the presence of another image or text hidden "underneath" or "behind" the image that is being subject to downgrading decision. An image is said to have been downgraged when its sensitivity label has been changed to the one strictly dominated by its previous value. Unlike text downgrading problem where the occurrence of sensitive keywords can be mechanically searched, on-line image downgrading decision must rely exclusively on visual inspection of the image as displayed on screen. In this paper, we propose image palletization as an effective approach to deal with on-line image downgrading problem. We demonstrat e how image palletization can amplify the effect of image contamination to the displayed image to enable the detection of covert information flow via visual inspection.
Keywords: image downgrading, image palletization, covert channel, security
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