DNS-ADVP: A Machine Learning Anomaly Detection and Visual Platform to Protect Top-Level Domain Name Servers Against DDoS Attacks.
Luis A. TrejoVictor FermanMiguel Angel Medina-PérezFernando Miguel Arredondo GiacintiRaúl MonroyJose Emmanuel Ramirez-MarquezPublished in: IEEE Access (2019)
Keyphrases
- anomaly detection
- machine learning
- ddos attacks
- network anomaly detection
- intrusion detection
- detecting anomalies
- anomalous behavior
- network traffic
- network intrusion detection
- one class support vector machines
- unsupervised learning
- cumulative sum
- normal traffic
- intrusion detection system
- detect anomalies
- computational intelligence
- feature extraction
- privacy protection
- model selection
- ip addresses
- data analysis
- pattern recognition
- text classification
- probabilistic model
- high dimensional