Abstract Distributed Denial of Service (DDoS) attack is a stubborn network security problem.
Various machine learning-based methods have been proposed to detect such attacks …

Securing Internet of Things is a challenge because of its multiple points of vulnerability. In
particular, Distributed Denial of Service (DDoS) attacks on IoT devices pose a major security …

The rapid growth of internet population poses a serious challenge to the security of internet
resources. The security is directly affected by the hits of Denial of Services (DoS) attack …

Distributed Denial of Service (DDoS) attacks have become increasingly common, causing
financial and reputational losses for organizations. Despite the existence of numerous …

In recent years, software defined networking (SDN) has risen to prominence as a cutting-
edge and promising networking approach. SDN is more secure and immune to DDoS …

In recent years, several machine learning and deep learning models have been designed to
detect various DDoS attacks, but the presence of irrelevant features, lack of transparency …

Amplification distributed denial of service attacks constitute a rapidly evolving threat in the
current Internet, which is difficult to be defended for its camouflage and distributability …

Distributed Denial of Service (DDoS) is one of the most common cyber-attacks and caused
several damages in recent years. Such attacks can be executed either through the …

DDoS attacks are simple, effective, and still pose a significant threat even after more than
two decades. Given the recent success in machine learning, it is interesting to investigate …

In the contemporary landscape, Distributed Denial of Service (DDoS) attacks have emerged
as an exceedingly pernicious threat, particularly in the context of network management …