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020 _a9789811504938
024 7 _a10.1007/978-981-15-0493-8
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aQA76.9.A25
_b2020 EB
245 0 0 _aPrivacy in Dynamical Systems
_cedited by Farhad Farokhi.
250 _a1st ed. 2020.
264 1 _aSingapore
_bSpringer Singapore :
_bImprint: Springer
_c2020.
300 _a1 recurso en línea (XVI, 286 páginas)
_b69 ilustraciones, 35 ilustraciones a color.
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _atext file
_bPDF
490 0 _aIntelligent Technologies and Robotics (Springer-42732)
505 0 _aPart I: Statistical Data Privacy - 1. Fisher Information Privacy with Application to Smart Meter Privacy Using HVAC Units -- 2. Smart Meter Privacy -- 3. Privacy Against Adversarial Hypothesis Testing: Theory and Application to Smart Meter Privacy Problem -- 4. Statistical Parameter Privacy -- 5. Privacy Verification and Enforcement via Belief Manipulation -- 6. Information-Theoretic Privacy through Chaos Synchronization and Optimal Additive Noise.
520 3 _aThis book addresses privacy in dynamical systems, with applications to smart metering, traffic estimation, and building management. In the first part, the book explores statistical methods for privacy preservation from the areas of differential privacy and information-theoretic privacy (e.g., using privacy metrics motivated by mutual information, relative entropy, and Fisher information) with provable guarantees. In the second part, it investigates the use of homomorphic encryption for the implementation of control laws over encrypted numbers to support the development of fully secure remote estimation and control. Chiefly intended for graduate students and researchers, the book provides an essential overview of the latest developments in privacy-aware design for dynamical systems.
988 _aPrimersemestre_2020_Robotics
650 7 _2embne
_aSeguridad informática
_9158200
700 1 _aFarokhi, Farhad.
_eeditor
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9789811504921
776 0 8 _iPrinted edition:
_z9789811504945
776 0 8 _iPrinted edition:
_z9789811504952
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-15-0493-8
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
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998 _b03/2020
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