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Sep, 2017
基于RNN的Tennessee Eastman工艺早期网络攻击检测
RNN-based Early Cyber-Attack Detection for the Tennessee Eastman Process
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Pavel Filonov, Fedor Kitashov, Andrey Lavrentyev
TL;DR
本研究采用基于循环神经网络的预测方法，对模拟的Tennessee Eastman工艺过程中的工业多变量时间序列数据进行早期异常检测，通过特定的NAB评估方法进行早期检测，同时提供了与DPCA方法的比较。
Abstract
An
rnn
-based forecasting approach is used to early detect anomalies in industrial multivariate time series data from a simulated
tennessee eastman process
(TEP) with many cyber-attacks. This work continues a prev
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