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. 2102.05631
  4. Cited By
A Survey on Industrial Control System Testbeds and Datasets for Security
  Research
v1v2v3 (latest)

A Survey on Industrial Control System Testbeds and Datasets for Security Research

10 February 2021
Mauro Conti
Denis Donadel
Federico Turrin
ArXiv (abs)PDFHTML

Papers citing "A Survey on Industrial Control System Testbeds and Datasets for Security Research"

17 / 17 papers shown
Title
A Systematic Literature Review of Cyber Security Monitoring in Maritime
A Systematic Literature Review of Cyber Security Monitoring in Maritime
Risto Vaarandi
Leonidas Tsiopoulos
Gabor Visky
Muaan Ur Rehman
Hayretdin Bahsi
66
0
0
23 Mar 2025
A Survey of Anomaly Detection in Cyber-Physical Systems
A Survey of Anomaly Detection in Cyber-Physical Systems
Danial Abshari
Meera Sridhar
91
3
0
18 Feb 2025
DAICS: A Deep Learning Solution for Anomaly Detection in Industrial
  Control Systems
DAICS: A Deep Learning Solution for Anomaly Detection in Industrial Control Systems
Maged AbdelAty
Roberto Doriguzzi-Corin
Domenico Siracusa
63
42
0
14 Sep 2020
Assessing the Use of Insecure ICS Protocols via IXP Network Traffic
  Analysis
Assessing the Use of Insecure ICS Protocols via IXP Network Traffic Analysis
G. Barbieri
Mauro Conti
Nils Ole Tippenhauer
Federico Turrin
25
6
0
02 Jul 2020
KYPO4INDUSTRY: A Testbed for Teaching Cybersecurity of Industrial
  Control Systems
KYPO4INDUSTRY: A Testbed for Teaching Cybersecurity of Industrial Control Systems
Pavel Čeleda
Jan Vykopal
Valdemar Švábenský
K. Slávicek
26
18
0
24 Apr 2020
Effect of Imbalanced Datasets on Security of Industrial IoT Using
  Machine Learning
Effect of Imbalanced Datasets on Security of Industrial IoT Using Machine Learning
Maede Zolanvari
M. Teixeira
R. Jain
43
54
0
02 Dec 2019
Machine Learning Based Network Vulnerability Analysis of Industrial
  Internet of Things
Machine Learning Based Network Vulnerability Analysis of Industrial Internet of Things
Maede Zolanvari
M. Teixeira
Lav Gupta
K. Khan
R. Jain
52
308
0
13 Nov 2019
LICSTER -- A Low-cost ICS Security Testbed for Education and Research
LICSTER -- A Low-cost ICS Security Testbed for Education and Research
Felix Sauer
Matthew Niedermaier
Susanne Kießling
D. Merli
37
18
0
01 Oct 2019
A Public Network Trace of a Control and Automation System
A Public Network Trace of a Control and Automation System
Gorby Kabasele Ndonda
R. Sadre
43
2
0
06 Aug 2019
Efficient Cyber Attacks Detection in Industrial Control Systems Using
  Lightweight Neural Networks and PCA
Efficient Cyber Attacks Detection in Industrial Control Systems Using Lightweight Neural Networks and PCA
Moshe Kravchik
A. Shabtai
AAML
73
55
0
02 Jul 2019
Evaluation of Machine Learning-based Anomaly Detection Algorithms on an
  Industrial Modbus/TCP Data Set
Evaluation of Machine Learning-based Anomaly Detection Algorithms on an Industrial Modbus/TCP Data Set
S. D. Antón
Suneetha Kanoor
Daniel Fraunholz
Hans D. Schotten
102
81
0
28 May 2019
MAD-GAN: Multivariate Anomaly Detection for Time Series Data with
  Generative Adversarial Networks
MAD-GAN: Multivariate Anomaly Detection for Time Series Data with Generative Adversarial Networks
Dan Li
Dacheng Chen
Lei Shi
Baihong Jin
Jonathan Goh
See-Kiong Ng
77
775
0
15 Jan 2019
Uncovering Vulnerable Industrial Control Systems from the Internet Core
Uncovering Vulnerable Industrial Control Systems from the Internet Core
Marcin Nawrocki
T. Schmidt
Matthias Wählisch
41
31
0
14 Jan 2019
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
S. D. Antón
Lia Ahrens
Daniel Fraunholz
Hans D. Schotten
113
33
0
20 Sep 2018
DOPING: Generative Data Augmentation for Unsupervised Anomaly Detection
  with GAN
DOPING: Generative Data Augmentation for Unsupervised Anomaly Detection with GAN
Swee Kiat Lim
Yi Loo
Ngoc-Trung Tran
Ngai-Man Cheung
Gemma Roig
Yuval Elovici
39
117
0
23 Aug 2018
Learning from Mutants: Using Code Mutation to Learn and Monitor
  Invariants of a Cyber-Physical System
Learning from Mutants: Using Code Mutation to Learn and Monitor Invariants of a Cyber-Physical System
Yuqi Chen
Christopher M. Poskitt
Jun Sun
52
123
0
03 Jan 2018
MiniCPS: A toolkit for security research on CPS Networks
MiniCPS: A toolkit for security research on CPS Networks
D. Antonioli
Nils Ole Tippenhauer
45
111
0
17 Jul 2015
1