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RNN-based Early Cyber-Attack Detection for the Tennessee Eastman Process

RNN-based Early Cyber-Attack Detection for the Tennessee Eastman Process

7 September 2017
Pavel Filonov
Fedor Kitashov
Andrey Lavrentyev
    AI4TS
ArXivPDFHTML

Papers citing "RNN-based Early Cyber-Attack Detection for the Tennessee Eastman Process"

6 / 6 papers shown
Title
A Novel Deep Parallel Time-series Relation Network for Fault Diagnosis
A Novel Deep Parallel Time-series Relation Network for Fault Diagnosis
Chun Yang
AI4TS
AI4CE
30
4
0
03 Dec 2021
Applications of Recurrent Neural Network for Biometric Authentication &
  Anomaly Detection
Applications of Recurrent Neural Network for Biometric Authentication & Anomaly Detection
Joseph M. Ackerson
Rushit Dave
Naeem Seliya
52
58
0
13 Sep 2021
Unsupervised Deep Anomaly Detection for Multi-Sensor Time-Series Signals
Unsupervised Deep Anomaly Detection for Multi-Sensor Time-Series Signals
Yu-xin Zhang
Yiqiang Chen
Jindong Wang
Zhiwen Pan
AI4TS
21
189
0
27 Jul 2021
Anomalous Example Detection in Deep Learning: A Survey
Anomalous Example Detection in Deep Learning: A Survey
Saikiran Bulusu
B. Kailkhura
Bo-wen Li
P. Varshney
D. Song
AAML
28
47
0
16 Mar 2020
Deep Learning for Anomaly Detection: A Survey
Deep Learning for Anomaly Detection: A Survey
Raghavendra Chalapathy
Sanjay Chawla
AI4TS
41
1,479
0
10 Jan 2019
Discovering Signals from Web Sources to Predict Cyber Attacks
Discovering Signals from Web Sources to Predict Cyber Attacks
Palash Goyal
K. T. Hossain
A. Deb
N. Tavabi
Nathan Bartley
A. Abeliuk
Emilio Ferrara
Kristina Lerman
21
24
0
08 Jun 2018
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