Intrusion detection systems are important for detecting and reacting to the presence of
unauthorised users of a network or system. They observe the actions of the system and its …

In the face of escalating global Cybersecurity threats, having an automated forewarning
system that can find suspicious user profiles is paramount. It can work as a prevention …

Nowadays, the speed of the user and application logs is so quick that it is almost impossible
to analyse them in real time without using high-performance systems and platforms. In …

Bayesian networks are important knowledge representation tools for handling uncertain
pieces of information. The success of these models is strongly related to their capacity to …

As information technology (IT) and telecommunication systems continue to grow in size and
complexity, especially with Internet of Things (IoT) gaining popularity, maintaining a secure …

Classification and regression tree (CART) has been widely used nowadays for providing
users supports in classification and prediction. However, having outlier in database is …

The decision tree is an effective classification method in data mining. Using this method, the
intrusion detection system can be more accurate and efficient to process network data …

Classifiers are well-known and efficient techniques used to predict the class of items
descrided by a set of features. In many applications, it is important to take into account some …

Nowadays, the speed of the user and application logs is so quick that it is almost impossible
to analyse them in real-time without using scalable systems and platforms. In cybersecurity …

In the scope of maintenance process, alarms triggering and management is an important
issue that diagnosis assistance system must take into account. Alarms floods have always …