Background Blocklisting malicious activities in health care is challenging in relation to
access control in health care security practices due to the fear of preventing legitimate …

Illegitimate access detection systems in hospital logs perform post hoc detection instead of
runtime access restriction to allow widespread access in emergencies. We study the …

Log-based anomaly detection in software systems is becoming increasingly crucial for
monitoring network operations and ensuring system security. Deep learning-based methods …

Healthcare frameworks have evolved over the decades with the advancements in
technology. Patient disease prevention, diagnosis, treatment, and well-being in general …

Due to emergency situations in healthcare, there is a requirement in electronic health
records in various hospitals for emergency access known as" Break-the-glass" or self …

This thesis aims to investigate the effectiveness of machine learning methods on anomaly
detection for failure prediction using the system logs of the integrated ICT-system of a …