NDLI: Uncrowded window inspired information security display

Content Provider	IEEE Xplore Digital Library
Author	Zhongpai Gao Guangtao Zhai Xiongkuo Min Chunjia Hu
Copyright Year	2014
Description	Author affiliation: Inst. of Image Commun. & Inf. Process., Shanghai Jiao Tong Univ., Shanghai, China (Zhongpai Gao; Guangtao Zhai; Xiongkuo Min; Chunjia Hu)
Abstract	With the booming of visual media, people pay more and more attention to privacy protection in public environments. Most existing research on information security such as cryptography and steganography is mainly concerned about transmission and yet little has been done to prevent the information displayed on screens from reaching eyes of the bystanders. To deal with the problem, for the application of text-reading, we proposed an eye tracking based solution using the newly revealed concept of uncrowded window from vision research. The theory of uncrowded window suggests that human vision can only effectively recognize objects inside a small window. Object features outside the window may still be detectable but the feature detection results cannot be efficiently combined properly and therefore those objects will not be recognizable. We use eye-tracker to locate fixation points of the authorized reader in real time, and only the area inside the uncrowded window displays the private information we want to protect. A number of dummy windows with fake messages are displayed around the real uncrowded window as diversions. And without the precise knowledge about the fixations of the authorized reader, the chance for bystanders to capture the private message from those surrounding area and the dummy windows is very low. Meanwhile, since the authorized reader can only read within the uncrowded window, detrimental impact of those dummy windows is almost negligible. The proposed prototype system was written in C++ with SDKs of Direct3D, Tobii Gaze SDK, CEGUI, MuPDF, OpenCV and etc. Extended demonstration of the system will be provided to show that the proposed method is an effective solution to the problem of information security and display.
Starting Page	1
Ending Page	2
File Size	641356
Page Count	2
File Format	PDF
ISBN	9781479947171
ISSN	19457871
DOI	10.1109/ICMEW.2014.6890623
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-07-14
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Visualization Electronic publishing Tracking Information security Display technology Media Feature extraction Cryptography Eye tracking Uncrowded window
Content Type	Text
Resource Type	Article

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