Structural features match or beat temporal ones for unsupervised DDoS detection, with the edge growing when traffic shows weak time dependence.
write newline
4 Pith papers cite this work. Polarity classification is still indexing.
4
Pith papers citing it
verdicts
UNVERDICTED 4representative citing papers
TRACE applies a hyperparameter-tuned stacked ensemble of gradient boosted decision trees to traceroute latency features to detect rare route changes with superior F1 score over baselines.
Clustering LLM-generated Portuguese stories about women identifies three recurring discourses that embed colonially structured racial biases.
The paper proposes the QQ-SPM query type and QQESPM algorithm to add qualitative connectivity constraints to spatial pattern matching for POIs.
citing papers explorer
-
Evaluating Temporal and Structural Anomaly Detection Paradigms for DDoS Traffic
Structural features match or beat temporal ones for unsupervised DDoS detection, with the edge growing when traffic shows weak time dependence.
-
TRACE: Traceroute-based Internet Route change Analysis with Ensemble Learning
TRACE applies a hyperparameter-tuned stacked ensemble of gradient boosted decision trees to traceroute latency features to detect rare route changes with superior F1 score over baselines.
-
Clustering Discourses: Racial Biases in Short Stories about Women Generated by Large Language Models
Clustering LLM-generated Portuguese stories about women identifies three recurring discourses that embed colonially structured racial biases.
-
QQESPM: A Quantitative and Qualitative Spatial Pattern Matching Algorithm
The paper proposes the QQ-SPM query type and QQESPM algorithm to add qualitative connectivity constraints to spatial pattern matching for POIs.