IoT devices generate enormous amounts of data, which deep learning algorithms can learn
from more effectively than shallow learning algorithms. The approach for threat detection …

The article substantiates the existence of convergence processes in the field of digitization of
countries, taking into account the number of Internet users; people with advanced skills; and …

The increasing reliance on cyber-physical systems (CPSs) in critical domains such as
healthcare, smart grids, and intelligent transportation systems necessitates robust security …

The use of malware samples is usually required to test cyber security solutions. For that, the
correct typology of the samples is of interest to properly estimate the exhibited performance …

The digital transformation of the defence sector is not exempt from innovative requirements
and challenges, with the lack of availability of reliable, unbiased and consistent data for …

In recent years, cybersecurity has been strengthened through the adoption of processes,
mechanisms and rapid sources of indicators of compromise in critical areas. Among the …

Cybersecurity education is exceptionally challenging as it involves learning the complex
attacks; tools and developing critical problem-solving skills to defend the systems. For a …

In cybersecurity, live production data for predictive analysis pose a significant challenge due
to the inherently secure nature of the domain. Although there are publicly available …

Digitalization paves the road for power networks to evolve towards smart grids, where new
intelligent devices are numerous and communication networks are closely interrelated with …

Contemporary software systems encompass a multitude of interconnected entities, often
accessible via the Web, making them susceptible to potential malicious activities. Intrusion …