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LEADER: 04100nam a22004575a 4500
001 013859876-2
005 20140103191258.0
008 131118s2013 gw | s ||0| 0|eng d
020 $a9783642413957
020 $a9783642413957
020 $a9783642413940
024 7 $a10.1007/978-3-642-41395-7$2doi
035 $a(Springer)9783642413957
040 $aSpringer
050 4 $aQA76.9.D35
072 7 $aUMB$2bicssc
072 7 $aURY$2bicssc
072 7 $aCOM031000$2bisacsh
082 04 $a005.74$223
100 1 $aMaes, Roel,$eauthor.
245 10 $aPhysically Unclonable Functions :$bConstructions, Properties and Applications /$cby Roel Maes.
264 1 $aBerlin, Heidelberg :$bSpringer Berlin Heidelberg :$bImprint: Springer,$c2013.
300 $aXVII, 193 p. 28 illus.$bonline resource.
336 $atext$btxt$2rdacontent
337 $acomputer$bc$2rdamedia
338 $aonline resource$bcr$2rdacarrier
347 $atext file$bPDF$2rda
505 0 $aChap. 1 - Introduction and Preview -- Chap. 2 - Physically Unclonable Functions: Concept and Constructions -- Chap. 3 - Physically Unclonable Functions: Properties -- Chap. 4 - Implementation and Experimental Analysis of Intrinsic PUFs -- Chap. 5 - PUF-Based Entity Identification and Authentication -- Chap. 6 - PUF-Based Key Generation -- Chap. 7 - Conclusion and Future Work -- App. A - Notation and Definitions from Probability Theory and Information Theory -- App. B - Non-intrinsic PUF(-like) Constructions -- References.
520 $aPhysically unclonable functions (PUFs) are innovative physical security primitives that produce unclonable and inherent instance-specific measurements of physical objects; in many ways they are the inanimate equivalent of biometrics for human beings. Since they are able to securely generate and store secrets, they allow us to bootstrap the physical implementation of an information security system. In this book the author discusses PUFs in all their facets: the multitude of their physical constructions, the algorithmic and physical properties which describe them, and the techniques required to deploy them in security applications. The author first presents an extensive overview and classification of PUF constructions, with a focus on so-called intrinsic PUFs. He identifies subclasses, implementation properties, and design techniques used to amplify submicroscopic physical distinctions into observable digital response vectors.
520 $aHe lists the useful qualities attributed to PUFs and captures them in descriptive definitions, identifying the truly PUF-defining properties in the process, and he also presents the details of a formal framework for deploying PUFs and similar physical primitives in cryptographic reductions. The author then describes a silicon test platform carrying different intrinsic PUF structures which was used to objectively compare their reliability, uniqueness, and unpredictability based on experimental data. In the final chapters, the author explains techniques for PUF-based entity identification, entity authentication, and secure key generation. He proposes practical schemes that implement these techniques, and derives and calculates measures for assessing different PUF constructions in these applications based on the quality of their response statistics.
520 $aFinally, he presents a fully functional prototype implementation of a PUF-based cryptographic key generator, demonstrating the full benefit of using PUFs and the efficiency of the processing techniques described. This is a suitable introduction and reference for security researchers and engineers, and graduate students in information security and cryptography.
650 20 $aElectrical engineering.
650 10 $aComputer science.
650 0 $aData structures (Computer science)
650 0 $aComputer science.
650 0 $aComputer engineering.
650 24 $aData Structures, Cryptology and Information Theory.
650 24 $aSecurity Science and Technology.
776 08 $iPrinted edition:$z9783642413940
988 $a20131203
906 $0VEN