… inputs to learn specific information, and then tested on unseen inputs for classification purposes.
This article surveys supervised learning from a specific security angle, namely SCADA-…

… In fact, back in the days, SCADA security issues were majorly due to environmental challenges
and equipment failures due to wear and tear. However, advancement in technology in …

… This testbed consists of a hybrid environment of SCADA assets (… a process-aware supervised
learning defense strategy that … used in real SCADA environments. Figure 3 shows the …

… Supervised learning includes models that learn from … Today, there are many SCADA
development environments that … Some of the examples of such modern development …

… Four basic functions performed by SCADA systems for creating autonomous environments
with the final objective of the improvement of a fault prognostic for faults with no clear root …

… supervised learning algorithm in detecting SCADA systems intrusions is explored. Specifically,
we examine four supervised learning … ) for evaluating intrusions in SCADA datasets. Two …

… on machine learning algorithms. To this end, we examine four supervised learning methods,
… communication are typically different from IT environments, and may be proprietary [1-2]. …

… reliance on human analysis and adaptation to local network environments. Machine … We
evaluate 6 of the most widely used supervised learning algorithms as described in [16]. Each …

… The classification belongs to the supervised learning … line learning approach for a development
of the knowledge generation software agent in the non-conventional SCADA environment…

… on SCADA systems and presents a supervised energy … learning, while the third is based
on semisupervised learning. … simulation environments, we developed a SCADA testbed using …