Recently, DDoS attack has developed rapidly and become one of the most important threats
to the Internet. Traditional machine learning and deep learning methods can-not train a …

Distributed Denial of Service (DDoS) attack, which seriously affects the availability of the
Internet, is one of the most dangerous network attacks. Machine learning is widely used in …

Distributed Denial of Service (DDoS) attacks have been the prominent attacks over the last
decade. A Network Intrusion Detection System (NIDS) should seamlessly configure to fight …

With the development of network technology, more and more protocols and devices are
used in DDoS reflection and exploitation attacks. Different DDoS attacks often require …

Low-rate Distributed Denial of Service (LDDoS) attacks have been one of the most notorious
network security threats, which use periodic slight multi-variate time series pulse flows to …

Facing one of the most common threats to Internet security, the existing traffic-driven
distributed denial of service (DDoS) defense schemes mainly focus on establishing more …

The development of the Internet has facilitated our daily communication. However, crises of
security also rise at the same time. DDoS (Distributed Denial of Service) is one of the most …

With the development of the Internet of Things, a huge number of devices are connected to
the network, network traffic is exhibiting massive and low latency characteristics. At the same …

When using deep learning for DDoS attack detection, there is a general degradation in
detection performance due to small sample size. This paper proposes a small-sample DDoS …

There are many Distributed Denial of Service (DDoS) attack accidents in the world, which
use the Internet of Things (IoT) devices to launch attacks and make network unavailable …