A Proposal of Highly Responsive Distributed Denial-of-Service Attacks Detection Using Real-Time Burst Detection Method

Distributed Denial-of-Service (DDoS) attack detection systems are classified into a signature based approach and an anomaly based approach. However, such methods tend to suffer from low responsiveness. On the other hand, real-time burst detection which is used in data mining offers two advantages ov...

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Veröffentlicht in:	Journal of Information Processing 2018, Vol.26, pp.257-266
Hauptverfasser:	Usuzaki, Shotaro, Arikawa, Yuki, Yamaba, Hisaaki, Aburada, Kentaro, Kubota, Shin-Ichiro, Park, Mirang, Okazaki, Naonobu
Format:	Artikel
Sprache:	eng
Schlagworte:	Data mining Denial of service attacks Distributed Denial-of-Service attack highly responsive Real time real-time burst detection Statistical methods
Online-Zugang:	Volltext
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