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Teaching the process of building an Intrusion Detection System using data from a small-scale SCADA testbed

Maglaras, Leandros; Cruz, Tiago; Ferrag, Mohamed A.; Janicke, Helge

Authors

Tiago Cruz

Mohamed A. Ferrag

Helge Janicke



Abstract

Security of Critical National Infrastructures (CNI) is one of the major concerns to countries both in a European and in a worldwide level. Training on scenarios that involve such systems is important to the effective handling of incidents. Experiential learning is based on the importance of involvement and active engagement of attendees to develop personal experiences and increase the understanding of the investigated topic. This article describes a final year module for teaching traffic anomaly detection, an important part of of network security methods, to Computer Science and Informatics students. The course consists of 12 week labs and lectures run at De Montfort University. Students learn how to combine programming, data mining and security skills in order to build their own Intrusion Detection System using data from a small-scale SCADA testbed.

Journal Article Type Article
Acceptance Date Oct 9, 2019
Online Publication Date Nov 24, 2019
Publication Date 2020-01
Deposit Date Dec 6, 2022
Journal Internet Technology Letters
Publisher Wiley
Peer Reviewed Peer Reviewed
Volume 3
Issue 1
Article Number e132
DOI https://doi.org/10.1002/itl2.132
Keywords datasets, intrusion detection systems, machine learning, pedagogy, SCADA
Public URL http://researchrepository.napier.ac.uk/Output/2969597