LEADER 04769nam 22005895 450 001 9910983078103321 005 20250626163938.0 010 $a9783031707759 024 7 $a10.1007/978-3-031-70775-9 035 $a(CKB)37313229300041 035 $a(MiAaPQ)EBC31885460 035 $a(Au-PeEL)EBL31885460 035 $a(OCoLC)1490383131 035 $a(DE-He213)978-3-031-70775-9 035 $a(EXLCZ)9937313229300041 100 $a20250122d2025 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aArtificial Intelligence Techniques for Analysing Sensitive Data in Medical Cyber-Physical Systems $eSystem Protection and Data Analysis /$fedited by Massimo Ficco, Gianni D'Angelo 205 $a1st ed. 2025. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2025. 215 $a1 online resource (206 pages) 225 1 $aEngineering Cyber-Physical Systems and Critical Infrastructures,$x2731-5010 ;$v12 311 08$a9783031707742 327 $aChapter 1: Artificial Intelligence and Machine Learning for Medical Applications and Digital Health -- Chapter 2: Healthcare & Cyberspace: Medical Cyber-Physical Systems -- Chapter 3: Privacy Risk Analysis in Medical Cyber?Physical Systems -- Chapter 4: Healthcare & Cyberspace: From Cyber-Physical Systems to Medical Digital Twins -- Chapter 5: Federated Learning in Agents Based Cyber-Physical Systems -- Chapter 6: Application of Solid Platform and Federated Learning for Decentralized Health Data Management -- Chapter 7: TinyML and Federated Learning in Resource-Constrained Medical Devices -- Chapter 8: The Role of Blockchain in AI-Driven Medical Cyber-Physical Systems -- Chapter 9: Artificial Intelligence Applications in Healthcare Security. 330 $aThis book presents the major advances in techniques to preserve privacy and security requirements connected with the use of AI and machine learning (ML) to analyse and manage sensitive data in MCPSs. The advances in Internet of things and artificial intelligence (AI) have witnessed great progress on healthcare technologies in several application domains. In particular, the interconnection between the physical spaces, characterized by physical devices able to collect users? health information, with the cyberspace, also known as the virtual space, has fostered the development of intelligent Medical Cyber-Physical Systems (MCPSs) with the capability to deliver real-time healthcare services. On the other hand, the potential innovation that these technologies bring to improve patient care, by remotely analysing health parameters using medical devices, advanced smart sensors, and AI, is hampered by security and privacy challenges related to the managed sensitive data.? Starting from the state of the art on AI and ML for medical applications and digital health, an accurate analysis of privacy and security risks associated with the use of the MCPSs is presented. Then, Digital Twins are introduced as a significant technique to enhance decision-making through learning and reasoning of collected on-field real-time data. Moreover, decentralized healthcare data management approaches based on federated learning, tiny machine learning, and blockchain technologies have been introduced to shift control and responsibility of healthcare data management from individual centralized entities to a more distributed structure, preserving privacy and security. Finally, the application of AI-based security monitoring approaches in healthcare is discussed.? In this book, both theoretical and practical approaches are used to allow readers to understand complex topics and concepts easily also through real-life scenarios. 410 0$aEngineering Cyber-Physical Systems and Critical Infrastructures,$x2731-5010 ;$v12 606 $aComputational intelligence 606 $aCooperating objects (Computer systems) 606 $aArtificial intelligence 606 $aComputational Intelligence 606 $aCyber-Physical Systems 606 $aArtificial Intelligence 615 0$aComputational intelligence. 615 0$aCooperating objects (Computer systems) 615 0$aArtificial intelligence. 615 14$aComputational Intelligence. 615 24$aCyber-Physical Systems. 615 24$aArtificial Intelligence. 676 $a610.285 700 $aFicco$b Massimo$0634329 701 $aD'Angelo$b Gianni$01785781 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910983078103321 996 $aArtificial Intelligence Techniques for Analysing Sensitive Data in Medical Cyber-Physical Systems$94317265 997 $aUNINA