Detection of Information Hiding at Anti-Copying 2D Barcodes
Ning Xie, Ji Hu, Junjie Chen, Qiqi Zhang, and Changsheng Chen

TL;DR
This paper introduces two novel detection schemes for identifying hidden information in anti-copying 2D barcodes, addressing limitations of previous heuristic and ML-based methods, and evaluates their effectiveness against advanced attacks.
Contribution
The paper proposes pixel distance and variance-based detection schemes that improve robustness and provide fundamental insights into detecting hidden data in 2D barcodes.
Findings
PVBD scheme accurately detects hidden information in 2D barcodes.
The proposed schemes outperform prior methods under various devices.
Advanced IC attacks show high success rates against existing barcodes.
Abstract
This paper concerns the problem of detecting the use of information hiding at anti-copying 2D barcodes. Prior hidden information detection schemes are either heuristicbased or Machine Learning (ML) based. The key limitation of prior heuristics-based schemes is that they do not answer the fundamental question of why the information hidden at a 2D barcode can be detected. The key limitation of prior MLbased information schemes is that they lack robustness because a printed 2D barcode is very much environmentally dependent, and thus an information hiding detection scheme trained in one environment often does not work well in another environment. In this paper, we propose two hidden information detection schemes at the existing anti-copying 2D barcodes. The first scheme is to directly use the pixel distance to detect the use of an information hiding scheme in a 2D barcode, referred as to…
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Taxonomy
TopicsQR Code Applications and Technologies · Advanced Steganography and Watermarking Techniques · Biometric Identification and Security
