Evaluation Pipeline for systematically searching for Anomaly Detection Systems
Fuente:
arXiv
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| Autori principali: | , , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| Soggetti: | |
| Accesso online: | |
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| _version_ | 1866916799340085248 |
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| author | Rokohl, Florian Lehnert, Alexander Reichenbach, Marc |
| author_facet | Rokohl, Florian Lehnert, Alexander Reichenbach, Marc |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2506_15388 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Evaluation Pipeline for systematically searching for Anomaly Detection Systems Rokohl, Florian Lehnert, Alexander Reichenbach, Marc Cryptography and Security Artificial Intelligence 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. |
| title | Evaluation Pipeline for systematically searching for Anomaly Detection Systems |
| topic | Cryptography and Security Artificial Intelligence |
| url | https://arxiv.org/abs/2506.15388 |