In this paper, we investigate the problem of multiple network domains being threatened by
Distributed Denial-of-Service (DDoS) attacks, in which a DDoS attack detection scheme is …

In order to solve the problem of distributed denial of service (DDoS) attack detection in
software-defined network, we proposed a cooperative DDoS attack detection scheme based …

Abstract Software Defined Networking (SDN) decouples the control plane and the data
plane and solves the difficulty of new services deployment. However, the threat of a single …

Distributed Denial of Service (DDoS) is one of the most prevalent attacks that an
organizational network infrastructure comes across nowadays. We propose a deep learning …

Distributed Denial of Service (DDoS) attacks are one of the biggest concerns for security
professionals. Traditional middle‐box based DDoS attack defense is lack of network‐wide …

Distributed denial of service (DDoS) is a special form of denial of service attack. In this
paper, a DDoS detection model and defense system based on deep learning in Software …

The problem of distributed denial‐of‐service (DDoS) attack detection remains challenging
due to new and innovative methods developed by attackers to evade the deployed security …

Abstract Distributed Denial of Service (DDoS) has been one of the biggest threats in the field
of network security and a big problem to many researchers and large enterprises for years …

In this paper, we propose a deep learning model based on a novel Divide and Conquer
Attention (DCA) mechanism, for efficient detection of Distributed Denial of Service (DDoS) …

Hybrid distributed denial-of-service (DDoS) attack, which utilizes multiple types of DDoS
attack to launch one attack event, has become more rampant. However, existing researches …