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020 _a9783319749624
024 7 _a10.1007/978-3-319-74962-4
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aTK7895.E42
_b2018 EB
245 0 0 _aDiagnosability, Security and Safety of Hybrid Dynamic and Cyber-Physical Systems
_cedited by Moamar Sayed-Mouchaweh.
264 1 _aCham
_bSpringer International Publishing
_c2018
300 _a1 recurso en línea (X, 327 páginas)
_bilustraciones
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _atext file
_bPDF
490 0 _aEngineering (Springer-11647)
505 0 _aPrologue.- Wind Turbine Fault Localization: A Practical Application of Model-Based Diagnosis -- Fault detection and localization using Modelica and abductive reasoning -- Robust Data-Driven Fault Detection in Dynamic Process Environments Using Discrete Event Systems -- Critical States Distance Filter Based Approach for Detection and Blockage of Cyberattacks in Industrial Control Systems -- Active diagnosis for switched systems using Mealy machine modeling -- Secure Diagnosability of Hybrid Dynamical Systems -- Diagnosis in Cyber-physical systems with Fault Protection Assemblies -- Passive Diagnosis of Hidden-Mode Switched Affine Models with Detection Guarantees via Model Invalidation -- Diagnosability of Discrete Faults with Uncertain Observations -- Abstractions Refinement for Hybrid Systems Diagnosability Analysis.
520 3 _aCyber-physical systems (CPS) are characterized as a combination of physical (physical plant, process, network) and cyber (software, algorithm, computation) components whose operations are monitored, controlled, coordinated, and integrated by a computing and communicating core. The interaction between both physical and cyber components requires tools allowing analyzing and modeling both the discrete and continuous dynamics. Therefore, many CPS can be modeled as hybrid dynamic systems in order to take into account both discrete and continuous behaviors as well as the interactions between them. Guaranteeing the security and safety of CPS is a challenging task because of the inherent interconnected and heterogeneous combination of behaviors (cyber/physical, discrete/continuous) in these systems. This book presents recent and advanced approaches and tech-niques that address the complex problem of analyzing the diagnosability property of cyber physical systems and ensuring their security and safety against faults and attacks. The CPS are modeled as hybrid dynamic systems using different model-based and data-driven approaches in different application domains (electric transmission networks, wireless communication networks, intrusions in industrial control systems, intrusions in production systems, wind farms etc.). These approaches handles the problem of ensuring the security of CPS in presence of attacks and verifying their diagnosability in presence of different kinds of uncertainty (uncertainty related to the event occurrences, to their order of occurrence, to their value etc.). Synthesizes the state of the art in the domain of ensuring the security of cyber physical systems in presence of attacks and verifying their diagnosability in presence of different kinds of uncertainty; Studies the complementarities and the links between the different methods and techniques of fault diagnosis of hybrid dynamic systems; Includes the required notions, definitions and background to understand the problem of fault diagnosis of hybrid dynamic systems and how to solve it; Uses multiple examples in order to facilitate the understanding of the presented methods.
988 _aEBSPRINGER_2018
650 7 _2embne
_9667201
_aSistemas embebidos
650 7 _2embne
_aSeguridad informática
_9158200
700 1 _aSayed-Mouchaweh, Moamar.
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_0http://id.loc.gov/authorities/names/no2012100949
_1http://viaf.org/viaf/107059889/
_997837
776 0 8 _iEdición impresa:
_z9783319749617
776 0 8 _iEdición impresa:
_z9783319749631
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-74962-4
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _b04/2020
_dz
_ek
_zSI