arXiv (OAI Expanded)
open access
Stream Assembly Is an Uncontrolled Treatment in Streaming Intrusion-Detection Benchmarks
Streaming intrusion-detection studies assemble evaluation streams from network captures by interleaving capture days, pooling captures, or replaying records round robin. We show on two benchmarks that this assembly is an uncontrolled experimental treatment changing what the evaluation measures. On C
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- CALIBURN: A Regime-Sensitivity Study of Operationally Calibrated Streaming Intrusion Detection#224427
- Risk-Calibrated Bayesian Streaming Intrusion Detection with SRE-Aligned Decisions#1110128
- Temporal Analysis of NetFlow Datasets for Network Intrusion Detection Systems#183212
- Jev-IDS: System One Models for Network Intrusion Detection#1160951
- Jev-IDS: System One Models for Network Intrusion Detection#1156014
Record · ID 1110250
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive