Cryptanalysis of a Digital Watermarking Scheme Based on Support Vector Regression

Author

Siddula, Madhuri ; Sanadhya, Shashvat ; Subramanyam, A.V.

Author_Institution

Comput. Sci. & Eng., Indraprastha Inst. of Inf. Technol., New Delhi, India

fYear

2013

fDate

13-16 Oct. 2013

Firstpage

1554

Lastpage

1559

Abstract

This paper analyses an image watermarking scheme based on Support Vector Regression (SVR) proposed by R. Shen et al. We describe various attacks against this scheme and show that watermark tampering can be done even when one does not know the secret key used to embed the watermark. Next we discuss methods to extract the keys used in the scheme under various usage scenarios. Our results show that Shen et al.´s scheme is not secure.

Keywords

cryptography; image coding; image watermarking; regression analysis; support vector machines; SVR; cryptanalysis; digital watermarking scheme; image watermarking scheme; secret key; support vector regression; watermark tampering; Bit error rate; PSNR; Support vector machines; Training; Transform coding; Watermarking; Digital watermarking; Support vector regression; cryptanalysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man, and Cybernetics (SMC), 2013 IEEE International Conference on

Conference_Location

Manchester

Type

conf

DOI

10.1109/SMC.2013.268

Filename

6722021

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=677898