Evaluation Pipeline for systematically searching for Anomaly Detection Systems
Cryptography and Security
2025-06-19 v1 Artificial Intelligence
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.
Cite
@article{arxiv.2506.15388,
title = {Evaluation Pipeline for systematically searching for Anomaly Detection Systems},
author = {Florian Rokohl and Alexander Lehnert and Marc Reichenbach},
journal= {arXiv preprint arXiv:2506.15388},
year = {2025}
}
Comments
Submitted to 18th HiPEAC Workshop on Reconfigurable Computing (WRC'2024)