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Computational Forensic Techniques for Intellectual Property Protection

Jennifer L. Wong5, Darko Kirovski6 and Miodrag Potkonjak5

(5)  Computer Science Department, University of California, Los Angeles, CA, 90095
(6)  Microsoft Research, One Microsoft Way, Redmond, WA, 98052
Abstract
Computational forensic engineering (CFE) aims to identify the entity that created a particular intellectual property (IP). Rather than relying on watermarking 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 compilation tools, identify the one used to generate a particular hardware/software design. The generic CFE approach has four phases: feature and statistics data collection, feature extraction, entity clustering, and validation. In addition to IP protection, the developed CFE paradigm can have other potential applications: optimization algorithm selection and tuning, benchmark selection, and source-verification for mobile code.

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