Datasets:
Tasks:
Tabular Classification
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Text
Languages:
English
Size:
1M - 10M
Tags:
cybersecurity
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Verified signature# CICFlow Binary Intrusion Detection Dataset ## Overview This dataset provides a **binary network intrusion detection (IDS) benchmark** derived from **CICFlowMeter flow-level features**. The task is to determine whether a given network flow is **benign** or **malicious**, making this dataset suitable for: * Practical IDS research * Rule-based and hybrid ML systems * High-imbalance classification experiments * Explainable security modeling --- ## Task **Binary classification** > *Given a network flow represented by CICFlowMeter features, predict whether it corresponds to an attack.* --- ## Labels | Label ID | Name | Description | | -------: | ------ | ----------------------------------------------- | | 0 | benign | Normal network traffic | | 1 | attack | Any malicious traffic (all attack types merged) | ### Label construction The binary label was derived by collapsing a multiclass IDS taxonomy: * …b2b10b4
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