Affiliation:
1. Research and Production Enterprise “Novye Tekhnologii Telekommunikatsii”, Ltd
Abstract
A method of paper certificate protection against a cloning attack is investigated, that was proposed recently theoretically in a paper of the same author. This method is based on the use of digital watermarks. In order to extend watermark approach to a protection against cloning attacks, it has been suggested to execute estimation of the noise power which appear during the image scanning and printing. Algorithms of embedding and extraction of watermarks out of the images are presented along with a method of detecting of the cloning attack after scanning and printing by an attacker. Numerical results of the experiments for the error probabilities of a cloning missing and a false alarm are also presented and are in agreement with theoretical results obtained before.
Publisher
Bonch-Bruevich State University of Telecommunications
Reference9 articles.
1. Korzhik V.I., Anfinogenov S.O., Kochkaryov A.I., Fedyanin I.A., Zhuvikin A.G., Flaksman D.A. Digital steganography and digital watermarks. Part 2. Digital watermarks. St. Petersburg: The Bonch-Bruevich Saint Petersburg State University of Telecommunications Publ.; 2017. 198 p.
2. Tkachenko I. Generation and analysis of graphical codes using textured patterns for printed document authentication. D.Sc Thesis. Montpellier: Université de Montpellier; 2015.
3. Nguyen H.P., Delahaies A., Retraint F., Nguyen D.H., Pic M., Morain-Nicolier F. A watermarking technique to secure printed QR codes using a statistical test. Proceedings of the IEEE Global Conference on Signal and Information Processing, GlobalSIP, 14‒16 November 2017, Montreal, Canada. IEEE; 2017. p.288‒292. DOI:10.1109/GlobalSIP.2017.8308650
4. Chen C., Li M., Ferreira A., Huang J., Cai R. A Copy-Proof Scheme Based on the Spectral and Spatial Barcoding Channel Models. IEEE Transactions on Information Forensics and Security. 2019;15:1056‒1071. DOI:10.1109/TIFS.2019.2934861
5. Taran O., Bonev S., Voloshynovskiy S. Clonability of Anti-counterfeiting Printable Graphical Codes: A Machine Learn-ing Approach. Proceedings of the ICASSP 2019 ‒ 2019 IEEE International Conference on Acoustics, Speech and Signal Pro-cessing, UK, 12‒17 May 2019). IEEE; 2019. p.2482‒2486. DOI:10.1109/ICASSP.2019.8682967