Artificial Intelligence Techniques for Analysing Sensitive Data in Medical Cyber-physical Systems: System Protection and Data Analysis

Ficco, Massimo (Editor)/ D'angelo, Gianni (Editor)

ISBN 10: 3031707745 / ISBN 13: 9783031707742

Edité par Springer-Nature New York Inc, 2025

A propos de cet article

163 pages. 9.25x6.10x9.49 inches. In Stock.

N° de réf. du vendeur x-3031707745

Détails bibliographiques

• Titre: Artificial Intelligence Techniques for Analysing Sensitive Data in Medical Cyber-physical Systems: System Protection and Data Analysis
• Éditeur: Springer-Nature New York Inc
• Date de parution: 2025
• Langue: anglais
• ISBN à 10 chiffres: 3031707745
• ISBN à 13 chiffres: 9783031707742
• Reliure: Hardcover
• État de l'article: Brand New

A propos de ce titre

Synopsis

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.

À propos de l?auteur

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.