Information Hiding Techniques for Steganography and Digital Watermarking
Information Hiding Techniques for Steganography and Digital Watermarking
Anonymous fingerprinting with robust QIM watermarking techniques
EURASIP Journal on Information Security
Multi-Bit Embedding in Asymmetric Digital Watermarking without Exposing Secret Information
IEICE - Transactions on Information and Systems
EUROCRYPT'96 Proceedings of the 15th annual international conference on Theory and application of cryptographic techniques
EUROCRYPT'97 Proceedings of the 16th annual international conference on Theory and application of cryptographic techniques
Secure asymmetric watermark detection without secret of modified pixels
WISA'05 Proceedings of the 6th international conference on Information Security Applications
Fingerprinting protocol for images based on additive homomorphic property
IEEE Transactions on Image Processing
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We propose a concept of feasible blind fingerprinting called "semi-blind fingerprinting" which provides as secure content trading as conventional blind fingerprinting methods. In a basic model of conventional fingerprinting for content trading, user's security could be guaranteed only under the premise that a content provider is trustworthy. Such premise makes a scheme unpractical. To overcome this defect, various blind methods have been proposed in which cryptography is used in order to protect the information on a user. However, computation cost and robustness have not been well considered as a scheme should be feasible, though it provides high-level of protection. A semi-blind scheme fulfills a need for both feasibility and robustness. Under this scheme, feasibility can be achieved by applying newly proposed functions called "Image Division" instead of using cryptography. In order to gain robustness, a protocol for watermarking has been so designed that any well-developed existing watermarking technique can be applied with no restriction. We will not only propose the idea but also implement and evaluate several image division functions as well as an optimized embedding program in order to prove validity of the proposed method.