LEADER 04214nam 22007215 450 001 9910632476503321 005 20230810180303.0 010 $a3-031-16237-4 024 7 $a10.1007/978-3-031-16237-4 035 $a(MiAaPQ)EBC7145519 035 $a(Au-PeEL)EBL7145519 035 $a(CKB)25456506400041 035 $a(DE-He213)978-3-031-16237-4 035 $a(PPN)266353487 035 $a(EXLCZ)9925456506400041 100 $a20221123d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aArtificial Intelligence for Cyber-Physical Systems Hardening /$fedited by Issa Traore, Isaac Woungang, Sherif Saad 205 $a1st ed. 2023. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2023. 215 $a1 online resource (241 pages) 225 1 $aEngineering Cyber-Physical Systems and Critical Infrastructures,$x2731-5010 ;$v2 311 08$aPrint version: Traore, Issa Artificial Intelligence for Cyber-Physical Systems Hardening Cham : Springer International Publishing AG,c2022 9783031162367 320 $aIncludes bibliographical references. 327 $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. 330 $aThis book presents advances in security assurance for cyber-physical systems (CPS) and report on new machine learning (ML) and artificial intelligence (AI) approaches and technologies developed by the research community and the industry to address the challenges faced by this emerging field. Cyber-physical systems bridge the divide between cyber and physical-mechanical systems by combining seamlessly software systems, sensors, and actuators connected over computer networks. Through these sensors, data about the physical world can be captured and used for smart autonomous decision-making. This book introduces fundamental AI/ML principles and concepts applied in developing secure and trustworthy CPS, disseminates recent research and development efforts in this fascinating area, and presents relevant case studies, examples, and datasets. We believe that it is a valuable reference for students, instructors, researchers, industry practitioners, and related government agencies staff. 410 0$aEngineering Cyber-Physical Systems and Critical Infrastructures,$x2731-5010 ;$v2 606 $aCooperating objects (Computer systems) 606 $aEngineering$xData processing 606 $aComputational intelligence 606 $aBig data 606 $aArtificial intelligence 606 $aCyber-Physical Systems 606 $aData Engineering 606 $aComputational Intelligence 606 $aBig Data 606 $aArtificial Intelligence 615 0$aCooperating objects (Computer systems). 615 0$aEngineering$xData processing. 615 0$aComputational intelligence. 615 0$aBig data. 615 0$aArtificial intelligence. 615 14$aCyber-Physical Systems. 615 24$aData Engineering. 615 24$aComputational Intelligence. 615 24$aBig Data. 615 24$aArtificial Intelligence. 676 $a060 676 $a006.3 702 $aTraore?$b Issa Baba 702 $aWoungang$b Isaac 702 $aSaad$b Sherif 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910632476503321 996 $aArtificial intelligence for cyber-physical systems hardening$93085455 997 $aUNINA