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Computational Forensic Techniques for Intellectual Property Protection
| Book Series | Lecture Notes in Computer Science |
| Publisher | Springer Berlin / Heidelberg |
| ISSN | 0302-9743 (Print) 1611-3349 (Online) |
| Volume | Volume 2137/2001 |
| Book | Information Hiding |
| DOI | 10.1007/3-540-45496-9 |
| Copyright | 2001 |
| ISBN | 978-3-540-42733-9 |
| DOI | 10.1007/3-540-45496-9_6 |
| Pages | 66-81 |
| Subject Collection | Computer Science |
| SpringerLink Date | Monday, January 01, 2001 |
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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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