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Video conferencing participants wearing specs are inadvertently revealing sensitive on-screen information via reflections.
Boffins at the University of Michigan in the US and Zhejiang University in China have been looking into an unusual attack vector.
In a paper distributed via ArXiv, titled, "Private Eye: On the Limits of Textual Screen Peeking via Eyeglass Reflections in Video Conferencing," boffins Yan Long, Chen Yan, Shilin Xiao, Shivan Prasad, Wenyuan Xu, and Kevin Fu describe how they analyzed optical emanations from video screens that have been reflected in the lenses of glasses.
"Our work explores and characterizes the viable threat models based on optical attacks using multiframe super resolution techniques on sequences of video frames. Our models and experimental results in a controlled lab setting show it is possible to reconstruct and recognize with over 75 percent accuracy on-screen texts that have heights as small as 10 mm with a 720p webcam."
Video conferencing participants wearing specs are inadvertently revealing sensitive on-screen information via reflections.
Boffins at the University of Michigan in the US and Zhejiang University in China have been looking into an unusual attack vector.
In a paper distributed via ArXiv, titled, "Private Eye: On the Limits of Textual Screen Peeking via Eyeglass Reflections in Video Conferencing," boffins Yan Long, Chen Yan, Shilin Xiao, Shivan Prasad, Wenyuan Xu, and Kevin Fu describe how they analyzed optical emanations from video screens that have been reflected in the lenses of glasses.
"Our work explores and characterizes the viable threat models based on optical attacks using multiframe super resolution techniques on sequences of video frames. Our models and experimental results in a controlled lab setting show it is possible to reconstruct and recognize with over 75 percent accuracy on-screen texts that have heights as small as 10 mm with a 720p webcam."
