Distributed denial-of-service (DDoS) attacks pose a significant threat to computer networks
and systems by disrupting services through the saturation of targeted systems with traffic …

With the rise of DDoS attacks, several machine learning-based attack detection models have
been used to mitigate malicious behavioral attacks. Understanding how machine learning …

Distributed denial of service (DDoS) attacks are one of the main threats to information
security. The purpose of DDoS attacks at the network (IP) and transport (TCP) layers is to …

We live in an era where time is the most precious resource. Thus, dealing with the vast
amount of data collected from different resources for various purposes requires creating …

Abstract Denial of Service (DoS) attacks are a major threat to network security, characterized
by overwhelming system resources with illegitimate requests. Such attacks can disrupt …

The Internet of Things (IoT) has experienced significant growth and plays a crucial role in
daily activities. However, along with its development, IoT is very vulnerable to attacks and …

A predição eficaz de ataques de negação de serviço distribuído (DDoS) enfrenta desafios.
Ao pré-processar o tráfego de rede em busca de sinais de preparação do ataque, conjuntos …

A distributed denial of service (DDoS) attack targets at hindering authorized individuals from
accessing a server or website by flooding it with traffic from many sources. To avoid a DDoS …