This comprehensive review navigates the complex domain of Domain Generation
Algorithms (DGAs) and their detection using Artificial Intelligence (AI), revealing both …

Botnets often apply domain name generation algorithms (DGAs) to evade detection by
generating large numbers of pseudo-random domain names of which only few are …

Malware targeting user privacy has seen a surge in recent times, attributed to evolving
global regulations and the boost of electronic commerce and online services. Moreover …

Utilities around the world are reported to invest a total of around $30 billion over the next few
years for installation of more than 300 million smart meters, replacing traditional analog …

This paper aims to contribute to the adversarial defense research gap in the current state-of-
the-art of adversarial machine learning (ML) attacks and defense. More specifically, it …

The large branches of Machine Learning represent an immense support for the detection of
malicious websites, they can predict whether a URL is malicious or benign, leaving aside …

Cyber-Physical Systems are widely used in critical infrastructures such as the power grids,
water purification systems, nuclear plants, oil refinery and compressor plants, food …

In the smart grid's advanced metering infrastructure (AMI), smart meters (SMs) are deployed
at the customers' premises to report their electricity consumption readings to the electric …

With the rapid development of the Internet, malicious domain names pose more and more
serious threats to many fields, such as network security and social security, and there have …