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Titlebook: Information Hiding; 4th International Wo Ira S. Moskowitz Conference proceedings 2001 Springer-Verlag Berlin Heidelberg 2001 Information hi

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A Perceptual Audio Hashing Algorithm: A Tool for Robust Audio Identification and Information Hidingnd embed a watermark. However, if the same key is used to watermark different items, then each instance may leak partial information and it is possible that one may extract the whole secret from a collection of watermarked items. Thus it will be ideal to derive content dependent keys, using a . hash
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Computational Forensic Techniques for Intellectual Property Protection,rmarking content or designs, the generic CFE methodology analyzes the statistics of certain features of a given IP and quantizes the likelihood that a well known source has created it. In this paper, we describe the generic methodology of CFE and present a set of techniques that, given a pool of com
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Intellectual Property Metering,manufactured parts and copied programs. The key idea is to make each design/ progrsm slightly different during postprocessing phase. Therefore, if two identical hardware/software designs or a design that is not reported by the foundry are detected, the design house has proof of misconduct..We start
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Keyless Public Watermarking for Intellectual Property Authentication,d solutions to hard problems. It provides desirable proof of authorship without rendering the intellectual properties useless. However, it makes the watermark detection, which is as important as watermarking, a NP-hard problem. We propose a keyless public watermarking method that enables the waterma
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Neural Networks Functions for Public Key Watermarking,formance of secret key watermarking. The attractive properties of MLNN for public key watermarking are revealed by a theoretical analysis of linear MLNN. With some approximations, the detection performance of non-linear MLNN, which offer more resistance to attacks, can also be predicted. Experiments
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A Graph Theoretic Approach to Software Watermarking,lobytes) may be infeasible through this approach, it seems to be a viable scheme for large applications. Our approach works with control/data flow graphs and uses abstractions, approximate k-partitions, and a random walk method to embed the watermark, with the goal of minimizing and controlling the
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