KDD99:
- Granularity
- Size (samples/flows/records)
- Feature Set
- Volume (Time Span)
- Attack Taxonomy & Coverage
- Represenation
- Class Distribution
- License
- Data Collection Method
- Temporal Splits & Benchmarking Support
- Relevance & Currency
- Labeled
UNSW-NB15 Dataset:
- Granularity
- Size (samples/flows/records)
- Feature Set
- Volume (Time Span)
- Attack Taxonomy & Coverage
- Represenation
- Class Distribution
- License
- Data Collection Method
- Temporal Splits & Benchmarking Support
- Relevance & Currency
- Labeled
CICIDS2017:
- Granularity
- Size (samples/flows/records)
- Feature Set
- Volume (Time Span)
- Attack Taxonomy & Coverage
- Represenation
- Class Distribution
- License
- Data Collection Method
- Temporal Splits & Benchmarking Support
- Relevance & Currency
- Labeled
CSEIDS2018:
- Granularity
- Size (samples/flows/records)
- Feature Set
- Volume (Time Span)
- Attack Taxonomy & Coverage
- Represenation
- Class Distribution
- License
- Data Collection Method
- Temporal Splits & Benchmarking Support
- Relevance & Currency
- Labeled
CICDDoS2019:
- Granularity
- Size (samples/flows/records)
- Feature Set
- Volume (Time Span)
- Attack Taxonomy & Coverage
- Represenation
- Class Distribution
- License
- Data Collection Method
- Temporal Splits & Benchmarking Support
- Relevance & Currency
- Labeled
Edge-IIoT:
& Data Type, Size & Volume, Attack Taxonomy & Coverage, Feature Set & Representation, Class Distribution & Imbalance, Data Collection Method / Source / Operational Context, Temporal Splits & Benchmarking Support, Relevance & Currency
- Granularity
- Size (samples/flows/records)
- Feature Set
- Volume (Time Span)
- Attack Taxonomy & Coverage
- Represenation
- Class Distribution
- License
- Data Collection Method
- Temporal Splits & Benchmarking Support
- Relevance & Currency
- Labeled
