Identifying Application-Layer DDoS Attacks Based on Request Rhythm Matrices

Identifying Application-Layer DDoS Attacks Based on Request Rhythm Matrices

Application-layer distributed denial of service (AL-DDoS) attacks are becoming critical threats to websites because the stealth of AL-DDoS attacks makes many intrusion prevention systems ineffective. To detect AL-DDoS attacks aimed at websites, we propose a novel statistical model called the RM (rhy...

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Bibliographic Details
Main Authors: Huan Lin, Shoufeng Cao, Jiayan Wu, Zhenzhong Cao, Fengyu Wang
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Network security
application-layer DDoS attack
anomaly detection
rhythm matrix
outliers
Online Access:https://ieeexplore.ieee.org/document/8888259/

Internet

https://ieeexplore.ieee.org/document/8888259/

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