Modelling, detecting and mitigating threats against industrial healthcare systems: a combined SDN and reinforcement learning approach

Panagiotis Radoglou-Grammatikis; Konstantinos Rompolos; Panagiotis Sarigiannidis; Vasileios Argyriou; Thomas Lagkas; Antonios Sarigiannidis; Sotirios Goudos; Shaohua Wan

doi:10.1109/TII.2021.3093905

Modelling, detecting and mitigating threats against industrial healthcare systems: a combined SDN and reinforcement learning approach

Panagiotis Radoglou-Grammatikis
, Konstantinos Rompolos
, Panagiotis Sarigiannidis
, Vasileios Argyriou
, Thomas Lagkas
, Antonios Sarigiannidis
, Sotirios Goudos
, Shaohua Wan

Research output: Contribution to journal › Article › peer-review

4 Downloads (Pure)

Original language	English
Pages (from-to)	2041-2052
Journal	IEEE Transactions on Industrial Informatics
Volume	18
Issue number	3
Early online date	1 Jul 2021
DOIs	https://doi.org/10.1109/TII.2021.3093905
Publication status	Published - 31 Mar 2022

Bibliographical note

Note: This work was supported by the European Union Horizon 2020
research and innovation programme [grant agreement No. 833955].

Keywords

Computer science and informatics

Access to Document

10.1109/TII.2021.3093905

Argyriou-V-49356-VoRFinal published version, 3.31 MBLicence: CC BY

https://doi.org/10.1109/TII.2021.3093905

Cite this

Radoglou-Grammatikis, P., Rompolos, K., Sarigiannidis, P., Argyriou, V., Lagkas, T., Sarigiannidis, A., Goudos, S., & Wan, S. (2022). Modelling, detecting and mitigating threats against industrial healthcare systems: a combined SDN and reinforcement learning approach. IEEE Transactions on Industrial Informatics, 18(3), 2041-2052. https://doi.org/10.1109/TII.2021.3093905

@article{9a143d7e1d74469482a66c5ea1e25c40,

title = "Modelling, detecting and mitigating threats against industrial healthcare systems: a combined SDN and reinforcement learning approach",

keywords = "Computer science and informatics",

author = "Panagiotis Radoglou-Grammatikis and Konstantinos Rompolos and Panagiotis Sarigiannidis and Vasileios Argyriou and Thomas Lagkas and Antonios Sarigiannidis and Sotirios Goudos and Shaohua Wan",

note = "Note: This work was supported by the European Union Horizon 2020 research and innovation programme [grant agreement No. 833955].",

year = "2022",

month = mar,

day = "31",

doi = "10.1109/TII.2021.3093905",

language = "English",

volume = "18",

pages = "2041--2052",

journal = "IEEE Transactions on Industrial Informatics",

issn = "1551-3203",

publisher = "IEEE Computer Society",

number = "3",

}

Radoglou-Grammatikis, P, Rompolos, K, Sarigiannidis, P, Argyriou, V, Lagkas, T, Sarigiannidis, A, Goudos, S & Wan, S 2022, 'Modelling, detecting and mitigating threats against industrial healthcare systems: a combined SDN and reinforcement learning approach', IEEE Transactions on Industrial Informatics, vol. 18, no. 3, pp. 2041-2052. https://doi.org/10.1109/TII.2021.3093905

Modelling, detecting and mitigating threats against industrial healthcare systems: a combined SDN and reinforcement learning approach. / Radoglou-Grammatikis, Panagiotis; Rompolos, Konstantinos; Sarigiannidis, Panagiotis et al.
In: IEEE Transactions on Industrial Informatics, Vol. 18, No. 3, 31.03.2022, p. 2041-2052.

Research output: Contribution to journal › Article › peer-review

TY - JOUR

T1 - Modelling, detecting and mitigating threats against industrial healthcare systems

T2 - a combined SDN and reinforcement learning approach

AU - Radoglou-Grammatikis, Panagiotis

AU - Rompolos, Konstantinos

AU - Sarigiannidis, Panagiotis

AU - Argyriou, Vasileios

AU - Lagkas, Thomas

AU - Sarigiannidis, Antonios

AU - Goudos, Sotirios

AU - Wan, Shaohua

N1 - Note: This work was supported by the European Union Horizon 2020 research and innovation programme [grant agreement No. 833955].

PY - 2022/3/31

Y1 - 2022/3/31

KW - Computer science and informatics

U2 - 10.1109/TII.2021.3093905

DO - 10.1109/TII.2021.3093905

M3 - Article

SN - 1551-3203

VL - 18

SP - 2041

EP - 2052

JO - IEEE Transactions on Industrial Informatics

JF - IEEE Transactions on Industrial Informatics

IS - 3

ER -