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1809.07500
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Time is of the Essence: Machine Learning-based Intrusion Detection in Industrial Time Series Data
20 September 2018
S. D. Antón
Lia Ahrens
Daniel Fraunholz
Hans D. Schotten
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Papers citing
"Time is of the Essence: Machine Learning-based Intrusion Detection in Industrial Time Series Data"
9 / 9 papers shown
Title
Error-bounded Approximate Time Series Joins Using Compact Dictionary Representations of Time Series
Chin-Chia Michael Yeh
Yan Zheng
Junpeng Wang
Huiyuan Chen
Zhongfang Zhuang
Wei Zhang
Eamonn Keogh
AI4TS
16
12
0
24 Dec 2021
A Survey on Industrial Control System Testbeds and Datasets for Security Research
Mauro Conti
Denis Donadel
Federico Turrin
16
137
0
10 Feb 2021
Intrusion Detection in Binary Process Data: Introducing the Hamming-distance to Matrix Profiles
S. D. Antón
Hans D. Schotten
19
3
0
17 Jul 2020
Discussing the Feasibility of Acoustic Sensors for Side Channel-aided Industrial Intrusion Detection: An Essay
S. D. Antón
A. Lohfink
Hans D. Schotten
11
4
0
09 Sep 2019
Anomaly-based Intrusion Detection in Industrial Data with SVM and Random Forests
S. D. Antón
Sapna Sinha
Hans D. Schotten
11
80
0
24 Jul 2019
Using Temporal and Topological Features for Intrusion Detection in Operational Networks
S. D. Antón
Daniel Fraunholz
Hans D. Schotten
19
10
0
09 Jul 2019
Putting Together the Pieces: A Concept for Holistic Industrial Intrusion Detection
S. D. Antón
Hans D. Schotten
20
4
0
28 May 2019
Devil in the Detail: Attack Scenarios in Industrial Applications
S. D. Antón
Alexander Hafner
Hans D. Schotten
AAML
14
8
0
24 May 2019
Modern Problems Require Modern Solutions: Hybrid Concepts for Industrial Intrusion Detection
S. D. Antón
Mathias Strufe
Hans D. Schotten
14
6
0
15 May 2019
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