As maritime and military missions become more and more complex and multifactorial over
the years, there has been a high interest in the research and development of (autonomous) …

This study increases the functional efficiency of machine learning of a cyber attack detection
system. An information-extreme machine learning method for a cyber attack detection …

The approach to compress network traffic parameters in systems for detecting attacks on
telecommunication networks using the neural network and nonlinear principal components …

In this paper the approach for detection of cyber attacks is described. The approach is based
on deep neural network. The main goal of proposed approach is to detect unknown …

The advancement of and dependence upon renewable energy sources has created a new
environment in which the safety and security of such systems are threatened within the …

Voice over IP (VoIP) is one of the most commonly used technologies. Due to the low cost of
using VoIP, unlike traditional PSTN networks, it is rapidly growing and widely distributed in …

The paper presents a topical scientific problem for the development of information
technology, which automatically allows you to neutralize the manifestations of malicious …

the paper provides an insight into the complex of events for probable location of attacker
right after he/she has committed an attack on Wi-Fi network. The new approach of additional …

A report on the analysis of statistical data on vulnerabilities from public data sources has
been presented to develop a mathematical model for penetration testing. Current trends in …

This paper describes the software system for visual representation of the selected direct and
reflected distributed denial of service attacks on the internal and the network resources …