Intelligent Cyberattack Detection On Safecare Virtual Hospital

Healthcare organizations are an easy target for cybercrime due to its critical and vulnerable infrastructure. The IT threat detection system (ITDS), described in this work, is an intelligent system that improves the incident detection by providing network monitoring and intrusion detection by means of a machine learning approach. Different machine learning techniques were studied in public datasets, and then fine-tuned with healthcare data. Thus, the main contribution of this work is a plug and play toolkit built for hospitals and which allow them to detect security events. Another relevant outcome of this work is a “real” hospital ecosystem that allows the simulation and test of security tools in a hospital environment without sacrificing its availability.