Efficient non-interactive zero-knowledge watermark detector robust to sensitivity attacks

Juan Ramón Troncoso; Fernando Pérez-González

doi:10.1117/12.704171

27 February 2007 Efficient non-interactive zero-knowledge watermark detector robust to sensitivity attacks

Juan Ramón Troncoso, Fernando Pérez-González

Proceedings Volume 6505, Security, Steganography, and Watermarking of Multimedia Contents IX; 65050B (2007) https://doi.org/10.1117/12.704171
Event: Electronic Imaging 2007, 2007, San Jose, CA, United States

Abstract

Zero-knowledge watermark detectors presented to date are based on a linear correlation between the asset features and a given secret sequence. This detection function is susceptible of being attacked by sensitivity attacks, for which zero-knowledge does not provide protection. In this paper, an efficient zero-knowledge version of the Generalized Gaussian Maximum Likelihood (ML) detector is introduced. The inherent robustness that this detector presents against sensitivity attacks, together with the security provided by the zero-knowledge protocol that conceals the keys that could be used to remove the watermark or to produce forged assets, results in a robust and secure protocol. Two versions of the zero-knowledge detector are presented; the first one makes use of two new zero-knowledge proofs for modulus and square root calculation; the second is an improved version applicable when the spreading sequence is binary, and it has minimum communication complexity. Completeness, soundness and zero-knowledge properties of the developed protocols are proved, and they are compared with previous zero-knowledge watermark detection protocols in terms of receiver operating characteristic, resistance to sensitivity attacks and communication complexity.

Citation Download Citation

Juan Ramón Troncoso and Fernando Pérez-González "Efficient non-interactive zero-knowledge watermark detector robust to sensitivity attacks", Proc. SPIE 6505, Security, Steganography, and Watermarking of Multimedia Contents IX, 65050B (27 February 2007); https://doi.org/10.1117/12.704171

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available