The recent increase in hacks and computer network attacks around the world has intensified
the need to develop better intrusion detection and prevention systems. The intrusion …

Network and Internet security is a critical universal issue. The increased rate of cyber
terrorism has put national security under risk. In addition, Internet attacks have caused …

Machine learning (ML) algorithms are often used to design effective intrusion detection (ID)
systems for appropriate mitigation and effective detection of malicious cyber threats at the …

A model for information processing parameters estimation in distributed systems with a
dynamic structure that realize the heterogeneous distributed databases is suggested. The …

Розроблено структуру планувальника розподіленої комп'ютерної системи, яка
підтримує захищену обробку даних. Запропоновано структуру централізованого …

The objective of this study is to explore feature selection for the detection of internal intruders
within a local network during the early stages of an attack. As the sophistication of attackers …

The ensuring of the continuous control and software updates in the control nodes of a
distributed data processing system requires the development of a network structure in such …

Intrusion detection system (IDS) represents a software or hardware appliance uses for
monitoring the network traffic to find any suspicious activities and threats. IDS have …

This paper presents a Network Intrusion Detection System (NIDS) with real-world traffic
using Support Vector Machine (SVM). Two databases were used for the experiments: the …

Advanced cyber threats that are well planned, funded and stealthy are an increasing issue
facing secure networked systems. As our reliance on protected networked systems …