查看文章

The Industrial Internet of Things (IIoT) has become very popular in recent years. However, IIoT is still an attractive and vulnerable target for attackers to exploit and experiment with different types of attacks. To confront this problem, the research community began exploring novel systems to protect the network. However, there are concerns related to some of theses systems regarding the increasing levels of required human interaction, which impact their efficiency. Recently, machine learning techniques are gaining much interest in security applications as they exhibit fast processing capabilities with real-time predictions. One of the significant challenges in the implementation of these techniques is the available training data for each new potential attack category, which is most of the time, unfeasible. Hence, these techniques might suffer from low detection rates for the attacks with relatively small training data (minority …