Enhancing Anomaly Resilience in Research Networks: A Large-Scale Forecasting Benchmark for Dynamic Security Baselining

arXiv:2608.05605 · cs.CR, cs.LG, cs.NI · Submitted 2026-08-06 · Read on arXiv

Mohammad Arafath Uddin Shariff, Byrav Ramamurthy

cs.CR, cs.LG, cs.NI

Submitted: 2026-08-06

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Fidelity — 13× in this paper · explained in 2 episodes
• Robustness — 11× in this paper · explained in 6 episodes
• XGBoost — 11× in this paper · explained in 3 episodes
• Benchmark — 10× in this paper · explained in 2 episodes
• Core — 9× in this paper · explained in 2 episodes
• Transformer — 7× in this paper · explained in 2 episodes
• Benchmarking — 6× in this paper · explained in 4 episodes
• Transformers — 4× in this paper · explained in 2 episodes
• Accuracy — 3× in this paper · explained in 1 episode
• Computational Efficiency — 3× in this paper · explained in 2 episodes
• Consistency — 2× in this paper · explained in 3 episodes
• Decoder — 2× in this paper · explained in 2 episodes
• Feature Engineering — 2× in this paper · explained in 3 episodes
• GNNs — 2× in this paper · explained in 2 episodes
• Generalizability — 2× in this paper · explained in 6 episodes
• Heavy-Tailed Distributions — 2× in this paper · explained in 2 episodes
• Intrusion Detection Systems — 2× in this paper
• Local Outlier Factor — 2× in this paper
• Ablation — 1× in this paper · explained in 1 episode
• Ablation Study — 1× in this paper · explained in 3 episodes
• Adversarial Robustness — 1× in this paper · explained in 4 episodes
• Concept Drift — 1× in this paper · explained in 6 episodes
• Department of Energy — 1× in this paper
• Edge Devices — 1× in this paper · explained in 2 episodes
• Explainable AI (XAI) — 1× in this paper · explained in 7 episodes
• False Negatives — 1× in this paper · explained in 2 episodes
• Federated Learning — 1× in this paper · explained in 19 episodes
• Graph Neural Networks (GNNs) — 1× in this paper · explained in 13 episodes
• Hyperparameters — 1× in this paper · explained in 2 episodes
• Interpretability — 1× in this paper · explained in 15 episodes
• Latent Space — 1× in this paper · explained in 7 episodes
• Overfitting — 1× in this paper · explained in 2 episodes
• Residual Connections — 1× in this paper · explained in 3 episodes
• Semantic Gap — 1× in this paper · explained in 2 episodes

Sources

• Long-term Forecasting with TiDE: Time-series Dense Encoder
• A Time Series is Worth 64 Words: Long-term Forecasting with Transformers

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