Machine Learning (ML) represents a pivotal technology for current and future information
systems, and many domains already leverage the capabilities of ML. However, deployment …

Cyber security has recently garnered enormous attention due to the popularity of the Internet
of Things (IoT), intelligent devices' rapid growth, and a vast number of real-life applications …

Botnets are one of the online threats with the most significant presence, causing billionaire
losses to global economies. Nowadays, the increasing number of devices connected to the …

This paper provides an in-depth examination of the latest machine learning (ML)
methodologies applied to the detection and mitigation of zero-day exploits, which represent …

Rapid development and adaptation of the Internet of Things (IoT) has created new problems
for securing these interconnected devices and networks. There are hundreds of thousands …

The work develops a network threat detection system, AI@ NTDS, that uses the behavioral
features of attackers and intelligent techniques. The proposed AI@ NTDS system combines …

Botnets have become increasingly common and progressively dangerous to both business
and domestic networks alike. Due to the Covid-19 pandemic, a large quantity of the …

Botnets are considered to be one of the most serious cybersecurity threats in recent years.
While botnets have been widely studied, they are constantly evolving, becoming more …

The ever-increasing number of multi-vector cyberattacks has become a concern for all levels
of organizations. Attackers are infecting Internet-enabled devices and exploiting them to …

In a digitized world even critical infrastructure relies on computers controlled via networks.
Attacking these sensitive infrastructures is highly attractive for intruders, who are frequently a …