DNS-ADVP: A Machine Learning Anomaly Detection and Visual Platform to Protect Top-Level Domain Name Servers Against DDoS Attacks

DNS-ADVP: A Machine Learning Anomaly Detection and Visual Platform to Protect Top-Level Domain Name Servers Against DDoS Attacks

DNS DDoS attacks may severely affect the operation of computer networks, prompting the need for methods able to timely detect them, and then to apply mitigation countermeasures. Visual models have been used to detect an ongoing DDoS attack, but often demand continuous attention from IT staff. Howeve...

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Bibliographic Details
Main Authors: Luis A. Trejo, Victor Ferman, Miguel Angel Medina-Perez, Fernando Miguel Arredondo Giacinti, Raul Monroy, Jose E. Ramirez-Marquez
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Amplification attack
anomaly detection
Domain Name System
DNS DDoS attacks
one-class classification
visualisation model
Online Access:https://ieeexplore.ieee.org/document/8744546/

Internet

https://ieeexplore.ieee.org/document/8744546/

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