Detecting botnets in a network is crucial because bots impact numerous areas such as cyber
security, finance, health care, law enforcement, and more. Botnets are becoming more …

Bot detection is a fundamental and crucial task for tracing and mitigating cyber threats in the
Internet. This paper aims to address two major limitations of current bot detection systems …

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 …

Botnets are an important security problem on the Internet. They continuously evolve their
structure, protocols and attacks. This survey analyzes and compares the most important …

Bot detection using machine learning (ML), with network flow-level features, has been
extensively studied in the literature. However, existing flow-based approaches typically incur …

Bot detection using machine learning (ML), with network flow-level features, has been
extensively studied in the literature. However, existing flow-based approaches typically incur …

In recent years, Botnets have become an important security problem on the Internet. Botnets
have been used for many attacks, such as banking information theft, spam, distributed denial …

Due to the conspicuous ability to capture topology characteristics, graph neural networks
(GNN) have been widely used in botnet detection and proven efficient. However, the …

Botnet has become a popular technique for deploying Internet crimes. The command of
botnet has evolved into a major way for attackers to launch Distributed Denial of Service …

Capturing the distributed platform with remotely controlled compromised machines using
botnet is extensively analyzed by various researchers. However, certain limitations need to …