基于FPGA的实时异常检测系统，应对医疗网络攻击威胁。

Evaluation Pipeline for systematically searching for Anomaly Detection Systems

• 用FPGA实现硬件级实时异常检测。
• 在低功耗下满足实时性要求。
• 适用于医疗等对安全敏感的场景。

医疗领域的数字化带来了巨大便利，但也使其成为攻击目标，安全防护难度增加。为应对网络入侵者，本文提出一种基于硬件的异常检测系统，可在实时环境下识别恶意客户端。通过使用FPGA，在满足实时性与低功耗限制的前提下，实现了整体系统的高性能。所提出的综合评估流程有效保障了系统性能。

原文摘要 · Abstract (English)

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.

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