A botnet is a malware program that a hacker remotely controls called a botmaster. Botnet
can perform massive cyber-attacks such as DDOS, SPAM, click-fraud, information, and …

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 …

Botnets, groups of malware-infected hosts controlled by malicious actors, have gained
prominence in an era of pervasive computing and the Internet of Things. Botnets have …

Community detection is of great importance for online social network analysis. The volume,
variety and velocity of data generated by today's online social networks are advancing the …

With the increasing size of data, massive amounts of data are being generated continuously.
It is hoped to find a cognitive computing technology that can effectively learn and process …

The generalization capability of machine learning models, which refers to generalizing the
knowledge for an “unseen” domain via learning from one or multiple seen domain (s), is of …

This paper aimed to identify the various kinds of distributed denial of service attacks (DDoS)
attacks, their destructive capabilities, and most of all, how best these issues could be counter …

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, extensive research has been conducted in the field of detecting Android
botnet, but most of the approaches introduced can provide a good answer to a limited …