AI4HealthSec: A Dynamic and Self-Organized Artificial Swarm Intelligence Solution for Security and Privacy Threats in Healthcare ICT Infrastructures
AI4HEALTHSEC proposes a state of the art solution that improves the detection and analysis of cyber-attacks and threats on HCIIs, and increases the knowledge on the current cyber security and privacy risks. Additionally, AI4HEALTHSEC builds risk awareness, within the digital Healthcare ecosystem and among the involved Health operators, to enhance their insight into their Healthcare ICT infrastructures and provides them with capability to react in case of security and privacy breaches. Last but not least AI4HEALTHSEC fosters the exchange of reliable and trusted incident-related information, among ICT systems and entities composing the HCIIs without revealing sensitive corporate details.
The personnel of Ethos Hub conduct remote video/audio sessions with children and families providing psychological support, consultancy, therapy and other treatments regarding quality of life. Those sessions take place via remote session software like Skype inside the Ethos Hub network which consists of Three (3) PCs connected to the Internet. Sessions are recorded for further analysis. After a session is completed, the recordings are transferred to another PC aimed for backup and storage which is isolated and not connected to any network.
In the Ai4HealthSec Open Call, ETHOS HUB tested attack scenarios in order to use methods a bad actor would use to threaten data privacy and availability since the main assets are extremely sensitive. A PC with internet connectivity acting as Ethos hub personnel, has stored dummy session video files that are stolen via methods explained below and exfiltrated to a malicious actor. In addition to the exfiltration, attacks like the deployment of a keylogger in order to obtain user credentials, violates the privacy layer. The attacks that took place in the availability layer are achieved through file encrypting malware on the same session files.
Read more at https://www.ai4healthsec.eu/
This project has received funding from the European Union’s Horizon 2020 research and innovation programme, under Grant Agreement 883273.
