Where the Numbers Come From: Auditing Evaluation in Provenance-Based Intrusion Detection

arXiv:2609.33532 · cs.CR · Submitted 2026-09-27 · Read on arXiv

cs.CR

Submitted: 2026-09-27

Updated: 2026-09-27

Code: https://github.com/FiveDirections/OpTC-data

Terminology

• Provenance — 39× in this paper · explained in 4 episodes
• Benchmark — 26× in this paper · explained in 2 episodes
• Calibration — 12× in this paper · explained in 7 episodes
• Consistency — 8× in this paper · explained in 3 episodes
• Adam — 7× in this paper · explained in 2 episodes
• Trace — 5× in this paper · explained in 2 episodes
• Generalization — 4× in this paper · explained in 13 episodes
• Concept Drift — 3× in this paper · explained in 4 episodes
• Exchangeability — 3× in this paper · explained in 2 episodes
• Representation Learning — 3× in this paper · explained in 2 episodes
• Robustness — 3× in this paper · explained in 5 episodes
• Symposium on Security and Privacy — 3× in this paper
• Ablation — 2× in this paper · explained in 1 episode
• Adversarial Robustness — 2× in this paper · explained in 3 episodes
• Aggregation — 2× in this paper · explained in 1 episode
• Computer and Communications Security — 2× in this paper
• Verification — 2× in this paper · explained in 2 episodes
• AUC — 1× in this paper · explained in 2 episodes
• Accuracy — 1× in this paper · explained in 1 episode
• Adaptation — 1× in this paper · explained in 1 episode
• Advances in Neural Information Processing Systems — 1× in this paper
• Alert Fatigue — 1× in this paper · explained in 1 episode
• Clustering — 1× in this paper · explained in 2 episodes
• Conference on Knowledge Discovery and Data Mining — 1× in this paper
• Distribution Shift — 1× in this paper · explained in 5 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• Graph Construction — 1× in this paper · explained in 3 episodes
• Heterogeneous Graph — 1× in this paper · explained in 2 episodes
• Network and Distributed System Security Symposium — 1× in this paper
• Selection Bias — 1× in this paper · explained in 4 episodes

Sources

• OCR-APT: Reconstructing APT Stories from Audit Logs using Subgraph Anomaly Detection and LLMs
• PIDSMaker: Building and Evaluating Provenance-based Intrusion Detection Systems
• How Benchmarks and Evaluation Protocols Shape Conclusions in Provenance-Based Intrusion Detection
• ATLASv2: ATLAS Attack Engagements, Version 2
• Temporal Graph Networks for Deep Learning on Dynamic Graphs

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