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 …

In recent years, Botnets have been adopted as a popular method to carry and spread many
malicious codes on the Internet. These malicious codes pave the way to execute many …

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 …

Cloud computing platform provides on-demand access of services, and these services can
also be customised, which enables the customers to use these services as per their …

An endpoint in an enterprise network is monitored, and when a potential trigger for a
distributed denial of service (DDoS) attack is followed by an increase in network traffic from …

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 …

Due to the increased rate of internet usage, security problems have also increased. One of
the serious threats in network security are Botnets. A Botnet is defined as a collection of …

Botnets represent one of the most aggressive threats against cyber security. Different
techniques using different feature sets have been proposed for botnet traffic analysis and …

Among the diverse forms of malware, Botnet is the serious threat which occurs commonly in
today‟ s cyber attacks and cyber crimes. Botnet are designed to perform predefined …