Evaluation Pipeline for systematically searching for Anomaly Detection Systems
This work addresses security challenges in medical networks for healthcare providers, but it appears incremental as it applies existing FPGA methods to a specific domain.
The authors tackled the problem of detecting network intruders in medical digitalization by proposing an anomaly detection system on hardware for real-time detection of malicious clients, achieving overall system performance through a holistic evaluation pipeline.
Digitalization in the medical world provides major benefits while making it a target for attackers and thus hard to secure. To deal with network intruders we propose an anomaly detection system on hardware to detect malicious clients in real-time. We meet real-time and power restrictions using FPGAs. Overall system performance is achieved via the presented holistic system evaluation.