Evaluation Pipeline for systematically searching for Anomaly Detection Systems

TL;DR

This paper presents a hardware-based anomaly detection system for real-time malicious client detection in medical networks, utilizing FPGAs to meet power and performance constraints through a comprehensive evaluation.

Contribution

It introduces a novel FPGA-based anomaly detection pipeline tailored for real-time medical network security with a holistic system evaluation approach.

Findings

Achieves real-time detection with low power consumption.

Demonstrates effective detection accuracy in medical network scenarios.

Provides a scalable and efficient hardware implementation.

Abstract

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.