On Tracing Screen Photos - A Moiré Pattern-Based Approach

Cyber-theft of trade secrets has become a serious business threat. Digital watermarking is a popular technique to help identify the source of the file leakage, whereby a unique watermark for each insider is hidden in sensitive files. However, malicious insiders may use smartphones to photograph the...

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Bibliographic Details
Published in:IEEE transactions on dependable and secure computing 2024-07, Vol.21 (4), p.2068-2084
Main Authors: Xu, Wenyuan, Cheng, Yushi, Ji, Xiaoyu, Chen, Yi-Chao
Format: Article
Language:English
Subjects:
Bit error rate
Cameras
Digital watermarking
Digital watermarks
Display devices
Image color analysis
Image forensics
Leakage
Liquid crystal displays
Moire patterns
Moiré patterns
Optical imaging
Optical sensors
screen photos
Screens
Smart phones
Smartphones
Theft
Trade secrets
Watermarking
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Summary:Cyber-theft of trade secrets has become a serious business threat. Digital watermarking is a popular technique to help identify the source of the file leakage, whereby a unique watermark for each insider is hidden in sensitive files. However, malicious insiders may use smartphones to photograph the secret file displayed on screens to remove the embedded hidden digital watermarks due to the optical noises introduced during photographing. To identify the leakage source despite such screen-photo-based leakage attacks , we leverage Moiré pattern, an optical phenomenon resulted from the optical interaction between electronic screens and cameras. As such, we present mID , a new watermark-like technique that can create a carefully crafted Moiré pattern on the photo when it is taken towards the screen. We design patterns that appear to be natural yet can be linked to the identity of the leaker. We implemented mID and evaluated it with 7 display devices and 6 smartphones from various manufacturers and models. The results demonstrate that mID can achieve an average bit error rate (BER) of 0.2% and can successfully identify an ID with an average accuracy of 98%, with little influence from the type of display devices, cameras, IDs, and ambient lights.
ISSN:1545-5971
1941-0018
DOI:10.1109/TDSC.2023.3299983