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Nov, 2023
RIDE: 基于可解释机器学习的实时入侵检测在内存阻抗器硬件架构中的实现
RIDE: Real-time Intrusion Detection via Explainable Machine Learning Implemented in a Memristor Hardware Architecture
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Jingdi Chen, Lei Zhang, Joseph Riem, Gina Adam, Nathaniel D. Bastian...
TL;DR
利用深度学习和循环自编码器结合软硬件协同设计,实现高速网络中基于数据包的网络入侵检测,同时具备高检测准确性和解释能力。
Abstract
deep learning
(DL) based methods have shown great promise in
network intrusion detection
by identifying malicious network traffic behavior patterns with high accuracy, but their applications to real-time, packet-
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