This training module aims to provide a comprehensive understanding of the role of machine learning techniques in identifying and mitigating cybersecurity threats. This training module will explore various machine learning algorithms and methodologies employed in anomaly detection, their applications, challenges, and future prospects in enhancing cybersecurity. This training module will delve into the application of machine learning techniques specifically tailored for the healthcare industry, focusing on the identification and prevention of anomalies that could compromise patient confidentiality, data integrity, and the overall functionality of healthcare systems.
Duration: 4h
Assignment time: 3h
Microcredentials: 1
- Trainer/in: Danijela Boberic Krsticev