ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1809.07500
  4. Cited By
Time is of the Essence: Machine Learning-based Intrusion Detection in
  Industrial Time Series Data

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
ArXivPDFHTML

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
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
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
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
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
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
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
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
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
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
1