Despite its technological benefits, the Internet of Things (IoT) has cyber weaknesses due to
vulnerabilities in the wireless medium. Machine Larning (ML)-based methods are widely …

In recent decades, the internet has grown and changed the world tremendously, and this, in
turn, has brought about many cyberattacks. Cybersecurity represents one of the most …

Cyber-security garnered significant attention due to the increased dependency of individuals
and organizations on the Internet and their concern about the security and privacy of their …

The identification of bots is an important and complicated task. The bot classifier" Botometer"
was successfully introduced as a way to estimate the number of bots in a given list of …

Intelligent Transport Systems (ITS) is a developing technology that will significantly alter the
driving experience. In such systems, smart vehicles and Road-Side Units (RSUs) …

Detecting botnet threats has been an ongoing research endeavor. Machine Learning (ML)
techniques have been widely used for botnet detection with flow-based features. The prime …

The online social media ecosystem is becoming more and more confused because of more
and more fake information and the social media of malicious users' fake content; at the same …

The new Industry 4.0 standard has offered many advantages to the industries improving
their production rate since it evaluates novel cutting-edge technologies like artificial …

The effectiveness of machine learning systems depends heavily on the relevance of the
training data. Usually, the collected data is sensitive and private because it comes from …

This survey paper provides a comprehensive overview of recent research and development
in network security that uses graphs and graph-based data representation and analytics …