Kaggle hosts a dataset titled 'ransomware-ebpf-io-dataset-v478'. The dataset likely contains system call and I/O operation traces collected using eBPF technology, focusing on ransomware behavior. Its specific size, author, and last update date are unknown.
Use Cases
- Training a classifier to distinguish ransomware I/O patterns from benign activity (inferred from domain, verify after download)
- Analyzing sequences of system calls for behavioral malware detection (inferred from domain, verify after download)
- Benchmarking eBPF-based security monitoring tools (inferred from domain, verify after download)
Strengths
- Published on Kaggle, a platform with established data sharing and versioning.
- Platform tags ('Io Tracing', 'Ebpf', 'Ransomware') provide clear topical context.
Limitations
- Metadata is minimal; actual content requires verification after download.
- Row count, file formats, and column definitions are unknown, limiting suitability assessment.
- License, author, and organization information is unavailable.
Provenance
- Source
- Kaggle
- Collection Method
- Likely gathered via eBPF instrumentation tracing system I/O and calls.
- Time Range
- null
- Freshness
- Last updated date is unknown; freshness unverified.
- Geography
- null