This work is concerned with the vulnerability of a network industrial control system to cyber-
attacks, which is a critical issue nowadays. This is because an attack on a controlled process …

Intrusion Detection Systems (IDS) are essential components in preventing malicious traffic
from penetrating networks and systems. Recently, these systems have been enhancing their …

Software-defined networks (SDN) are no more a new technology as many industries are
adopting it in a hybrid or full stack mode. SDN has already proved its technological …

Intrusion detection systems have benefited from Machine Learning (ML) to alleviate the
problem of building and maintaining accurate signatures. Nevertheless, ML solutions face …

Exploiting mobile crowdsensing to conduct data collection and analysis brings
unprecedented opportunities to promote the development of the Internet of Things (IoT) …

The article deals with the issue of detecting cyberattacks on control algorithms running in a
real Programmable Logic Controller (PLC) and controlling a real laboratory control plant …

Software-defined networking (SDN) architecture enables flexible and centralized network
management from the controller, making it increasingly attractive in deploying …

Finding a balance between meeting the testing goals and testing resources is always a
challenging task. Therefore, employing Machine Learning (ML) techniques for test …

As internet usage has increased, firewalls and antiviruses are not alone enough to
overcome the attacks and assure the privacy of information in a computer network, which …