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Honeypots for Automatic Network-Level Industrial Control System Security

Research output: Contribution to conference - Without ISBN/ISSN Conference paperpeer-review

Published

Standard

Honeypots for Automatic Network-Level Industrial Control System Security. / Maesschalck, Sam; Giotsas, Vasileios; Green, Benjamin et al.
2020. Paper presented at 14th EuroSys Doctoral Workshop, Heraklion, Greece.

Research output: Contribution to conference - Without ISBN/ISSN Conference paperpeer-review

Harvard

Maesschalck, S, Giotsas, V, Green, B & Race, N 2020, 'Honeypots for Automatic Network-Level Industrial Control System Security', Paper presented at 14th EuroSys Doctoral Workshop, Heraklion, Greece, 27/04/20 - 27/04/20.

APA

Maesschalck, S., Giotsas, V., Green, B., & Race, N. (2020). Honeypots for Automatic Network-Level Industrial Control System Security. Paper presented at 14th EuroSys Doctoral Workshop, Heraklion, Greece.

Vancouver

Maesschalck S, Giotsas V, Green B, Race N. Honeypots for Automatic Network-Level Industrial Control System Security. 2020. Paper presented at 14th EuroSys Doctoral Workshop, Heraklion, Greece.

Author

Maesschalck, Sam ; Giotsas, Vasileios ; Green, Benjamin et al. / Honeypots for Automatic Network-Level Industrial Control System Security. Paper presented at 14th EuroSys Doctoral Workshop, Heraklion, Greece.3 p.

Bibtex

@conference{96d10b8aa648436f94d100e7e650994e,
title = "Honeypots for Automatic Network-Level Industrial Control System Security",
abstract = "The proposed doctoral work investigates a new approach to implement, deploy and manage honeypots for Industrial Control Systems (ICS). Our goal is to address unique challenges of ICS security in terms of interactivity, resource utilization, timeliness of detection and uninterrupted operation, which are much stricter compared to traditional systems, making the existing approaches inefficient. Our proposal combines different levels of interactivity and coupling of the honeypots with the ICS network to satisfy trade-offs of detection accuracy and risk, and integrates the honeypot detection feeds with an SDN framework to enable autonomic reconfiguration.",
author = "Sam Maesschalck and Vasileios Giotsas and Benjamin Green and Nicholas Race",
year = "2020",
month = apr,
day = "27",
language = "English",
note = "14th EuroSys Doctoral Workshop, EuroDW 2020 ; Conference date: 27-04-2020 Through 27-04-2020",
url = "https://www.eurosys2020.org/workshops/eurodw2020/",

}

RIS

TY - CONF

T1 - Honeypots for Automatic Network-Level Industrial Control System Security

AU - Maesschalck, Sam

AU - Giotsas, Vasileios

AU - Green, Benjamin

AU - Race, Nicholas

PY - 2020/4/27

Y1 - 2020/4/27

N2 - The proposed doctoral work investigates a new approach to implement, deploy and manage honeypots for Industrial Control Systems (ICS). Our goal is to address unique challenges of ICS security in terms of interactivity, resource utilization, timeliness of detection and uninterrupted operation, which are much stricter compared to traditional systems, making the existing approaches inefficient. Our proposal combines different levels of interactivity and coupling of the honeypots with the ICS network to satisfy trade-offs of detection accuracy and risk, and integrates the honeypot detection feeds with an SDN framework to enable autonomic reconfiguration.

AB - The proposed doctoral work investigates a new approach to implement, deploy and manage honeypots for Industrial Control Systems (ICS). Our goal is to address unique challenges of ICS security in terms of interactivity, resource utilization, timeliness of detection and uninterrupted operation, which are much stricter compared to traditional systems, making the existing approaches inefficient. Our proposal combines different levels of interactivity and coupling of the honeypots with the ICS network to satisfy trade-offs of detection accuracy and risk, and integrates the honeypot detection feeds with an SDN framework to enable autonomic reconfiguration.

M3 - Conference paper

T2 - 14th EuroSys Doctoral Workshop

Y2 - 27 April 2020 through 27 April 2020

ER -