An intrusion detection system (IDS) is an important protection instrument for detecting
complex network attacks. Various machine learning (ML) or deep learning (DL) algorithms …

В работе приведен обзор существующих методов и алгоритмов обнаружения
аномалий с целью структуризации имеющихся данных и последующего отбора …

The paper aims to propose a novel approach to rise the situation awareness about
incidents, which can be considered as events in the complex event processing system. The …

This paper addresses the urgent need to detect network security attacks, which have
increased significantly in recent years, with high accuracy and avoid the adverse effects of …

One of the more representative tasks to detect large-scale network behavior data is to use
support vector machine (SVM) to extract the characteristics of network data to establish …

This article discusses the basic methods for classifying text data and explores the combined
approaches to classifying text. The advantages and disadvantages of each method are …