Artificial Intelligence Techniques for Analysing Sensitive Data in Medical Cyber-Physical Systems

System Protection and Data Analysis

AvMassimo Ficco,Gianni D'Angelo

Inbunden, Engelska, 2025

Del 12 i serien Engineering Cyber-Physical Systems and Critical Infrastructures

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Beskrivning

This 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.

Produktinformation

Utgivningsdatum:2025-01-23
Mått:155 x 235 x 15 mm
Vikt:416 g
Format:Inbunden
Språk:Engelska
Serie:Engineering Cyber-Physical Systems and Critical Infrastructures
Antal sidor:156
Förlag:Springer International Publishing AG
ISBN:9783031707742

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Mer om författaren

Massimo Ficco is Full Professor at the Computer Science Department of the University of Salerno, Italy. His major research interests include security and reliability aspects of critical infrastructures. Currently, his scientific research and dissemination activities concern the use of machine learning and artificial intelligence in the context of malware analysis and IoT systems. Currently, he heads the laboratory of Internet of Things (IoTResearch).Gianni D'Angelo is an Associate Professor at the University of Salerno, Italy. His research interests concern with the development and implementation of algorithms based on Artificial Intelligence, Deep Learning, Machine Learning, Explainable Artificial Intelligence, and parallel programming applied in various scientific and industrial fields.

Innehållsförteckning

Chapter 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.