000 | 04359nam a22006735i 4500 | ||
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001 | 978-3-031-16237-4 | ||
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005 | 20240207153623.0 | ||
007 | cr nn 008mamaa | ||
008 | 221123s2023 sz | s |||| 0|eng d | ||
020 |
_a9783031162374 _9978-3-031-16237-4 |
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245 | 1 | 0 |
_aArtificial Intelligence for Cyber-Physical Systems Hardening _h[electronic resource] / _cedited by Issa Traore, Isaac Woungang, Sherif Saad. |
250 | _a1st ed. 2023. | ||
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2023. |
|
300 |
_aXIV, 233 p. 66 illus., 49 illus. in color. _bonline resource. |
||
336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
||
338 |
_aonline resource _bcr _2rdacarrier |
||
347 |
_atext file _bPDF _2rda |
||
490 | 1 |
_aEngineering Cyber-Physical Systems and Critical Infrastructures, _x2731-5010 ; _v2 |
|
500 | _aAcceso multiusuario | ||
505 | 0 | _aIntroduction -- Machine Learning Construction: implications to cybersecurity -- Machine Learning Assessment: implications to cybersecurity -- A Collection of Datasets for Intrusion Detection in MIL-STD-1553 Platforms -- Unsupervised Anomaly Detection for MIL-STD-1553 Avionic Platforms using CUSUM -- Secure Design of Cyber-Physical Systems at the Radio Frequency Level: Machine and Deep Learning-Driven Approaches, Challenges and Opportunities -- Attack Detection by Using Deep Learning for Cyber-Physical System -- Security and privacy of IoT devices for ageing in place -- Detecting Malicious Attacks Using Principal Component Analysis in Medical Cyber-Physical Systems -- Activity and Event Network Graph and Application to Cyberphysical Security. | |
520 | _aThis book presents advances in security assurance for cyber-physical systems (CPS) and report on new machine learning (ML) and artificial intelligence (AI) approaches and technologies developed by the research community and the industry to address the challenges faced by this emerging field. Cyber-physical systems bridge the divide between cyber and physical-mechanical systems by combining seamlessly software systems, sensors, and actuators connected over computer networks. Through these sensors, data about the physical world can be captured and used for smart autonomous decision-making. This book introduces fundamental AI/ML principles and concepts applied in developing secure and trustworthy CPS, disseminates recent research and development efforts in this fascinating area, and presents relevant case studies, examples, and datasets. We believe that it is a valuable reference for students, instructors, researchers, industry practitioners, and related government agencies staff. | ||
541 |
_fUABC ; _cPerpetuidad |
||
650 | 0 | _aCooperating objects (Computer systems). | |
650 | 0 |
_aEngineering _xData processing. |
|
650 | 0 | _aComputational intelligence. | |
650 | 0 | _aBig data. | |
650 | 0 | _aArtificial intelligence. | |
650 | 1 | 4 | _aCyber-Physical Systems. |
650 | 2 | 4 | _aData Engineering. |
650 | 2 | 4 | _aComputational Intelligence. |
650 | 2 | 4 | _aBig Data. |
650 | 2 | 4 | _aArtificial Intelligence. |
700 | 1 |
_aTraore, Issa. _eeditor. _0(orcid)0000-0003-2987-8047 _1https://orcid.org/0000-0003-2987-8047 _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
700 | 1 |
_aWoungang, Isaac. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
700 | 1 |
_aSaad, Sherif. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783031162367 |
776 | 0 | 8 |
_iPrinted edition: _z9783031162381 |
776 | 0 | 8 |
_iPrinted edition: _z9783031162398 |
830 | 0 |
_aEngineering Cyber-Physical Systems and Critical Infrastructures, _x2731-5010 ; _v2 |
|
856 | 4 | 0 |
_zLibro electrónico _uhttp://libcon.rec.uabc.mx:2048/login?url=https://doi.org/10.1007/978-3-031-16237-4 |
912 | _aZDB-2-ENG | ||
912 | _aZDB-2-SXE | ||
942 | _cLIBRO_ELEC | ||
999 |
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