000			04289nam a22004815i 4500
001			978-3-642-41395-7
003			DE-He213
005			20200421111848.0
007			cr nn 008mamaa
008			131118s2013 gw | s |||| 0|eng d
020			_a9783642413957 _9978-3-642-41395-7
024	7		_a10.1007/978-3-642-41395-7 _2doi
050		4	_aQA76.9.D35
072		7	_aUMB _2bicssc
072		7	_aURY _2bicssc
072		7	_aCOM031000 _2bisacsh
082	0	4	_a005.74 _223
100	1		_aMaes, Roel. _eauthor.
245	1	0	_aPhysically Unclonable Functions _h[electronic resource] : _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. He 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. Finally, 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		0	_aComputer science.
650		0	_aData structures (Computer science).
650		0	_aSystem safety.
650		0	_aElectrical engineering.
650	1	4	_aComputer Science.
650	2	4	_aData Structures, Cryptology and Information Theory.
650	2	4	_aElectrical Engineering.
650	2	4	_aSecurity Science and Technology.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783642413940
856	4	0	_uhttp://dx.doi.org/10.1007/978-3-642-41395-7
912			_aZDB-2-SCS
942			_cEBK
999			_c55963 _d55963