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Intrusion Detection and Prevention in Industrial Internet of Things: A Study

Author:
Jeffrey, N.; Tan, Q.; Villar Flecha, José RamónUniovi authority
Publication date:
2023
Editorial:

Springer

Publisher version:
https://doi.org/10.1007/978-3-031-42519-6_4
Citación:
Jeffrey, N., Tan, Q., Villar, J.R. (2023). Intrusion Detection and Prevention in Industrial Internet of Things: A Study. En García Bringas, P., et al. International Joint Conference 16th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2023) 14th International Conference on EUropean Transnational Education (ICEUTE 2023). CISIS ICEUTE 2023 2023. Lecture Notes in Networks and Systems, vol 748. Cham : Springer
Serie:

Lecture Notes in Networks and Systems;748

Description:

International Conference on Computational Intelligence in Security for Information Systems (CISIS 2023) (16th. 2023. Salamanca, Sapin) and International Conference on EUropean Transnational Education (ICEUTE 2023) (14th. 2023. Salamanca, Spain)

URI:
https://hdl.handle.net/10651/71211
ISBN:
978-3-031-42518-9
DOI:
10.1007/978-3-031-42519-6_4
Patrocinado por:

This research has been funded by the SUDOE Interreg Program -grant INUNDATIO-, by the Spanish Ministry of Economics and Industry, grant PID2020-112726RB-I00, by the Spanish Research Agency (AEI, Spain) under grant agreement RED2018–102312-T (IA-Biomed), and by the Ministry of Science and Innovation under CERVERA Excellence Network project CER-20211003 (IBERUS) and Missions Science and Innovation project MIG-20211008 (INMERBOT). Also, by Principado de Asturias, grant SV-PA-21-AYUD/2021/50994.

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