Forget the Myth of the Air Gap: Machine Learning for Reliable Intrusion Detection in SCADA Systems

Perez, Rocio Lopez and Adamsky, Florian and Soua, Ridha and Engel, Thomas (2019) Forget the Myth of the Air Gap: Machine Learning for Reliable Intrusion Detection in SCADA Systems. EAI Endorsed Transactions on Security and Safety.

[thumbnail of 32900.pdf] PDF
32900.pdf

Download (2MB)

Abstract

Since Critical Infrastructures (CIs) use systems and equipment that are separated by long distances, Supervisory Control And Data Acquisition (SCADA) systems are used to monitor their behaviour and to send commands remotely. For a long time, operator of CIs applied the air gap principle, a security

Item Type: Article
Date Deposited: 04 Mar 2026 12:15
Last Modified: 17 Apr 2026 14:15
URI: http://eprints.eai.eu/id/eprint/23634

Actions (login required)

View Item
View Item