In recent years, the Internet of Things (IoT) infrastructures are developing in various
industrial applications in sustainable smart cities and societies such as smart manufacturing …

Conventional machine learning approaches applied for the security intrusion detection
degrades in case of big data input (10 6 and more samples in a dataset). Model training and …

Fueled by increasing data availability and the rise of technological advances for data
processing and communication, business analytics is a key driver for smart manufacturing …

Cyber-physical systems (CPSs) are essential to the contemporary industrial landscape,
performing a central role in improving productivity, mechanization, and innovation across …

Монография посвящена проблеме обеспечения киберустойчивости цифровой
индустрии в современных условиях. Авторами введены основные понятия …

This paper provides a detailed survey of various mathematical methods for security analysis
of a new type of complex systems–cyberphysical systems, as well as digital production and …

Motivated by the rapid advancement of industrial cyber-physical systems (ICPS) and rising
voices in favor of zero trust (ZT) security, in this paper, we present an edge-enabled zero …

A bio-inspired approach for self-regulation of modern industrial network infrastructure is
proposed. The approach is based on the analogy between the target function of an industrial …

The article proposes a sustainability criterion for cyber-physical systems. The concept of
information security for cyber-physical systems has been transformed due to the specifics of …

A method for analyzing network traffic based on quantum machine learning is presented. A
method for network traffic encoding into quantum computer terms is developed. The …