XAI-SOC IDS: Intrusion Detection System Dataset

A dataset for intrusion detection, likely containing network traffic or system logs. It is published on Kaggle, but specific details about its size, creation date, and author are not provided. The title suggests a focus on explainable artificial intelligence (XAI) for Security Operations Center (SOC) applications.

Use Cases

• Training a classifier to detect network intrusions (inferred from domain, verify after download)
• Benchmarking explainable AI methods on security event data (inferred from domain, verify after download)
• Analyzing patterns of malicious network activity (inferred from domain, verify after download)

Strengths

• Published on Kaggle, a platform for sharing data science resources.

Limitations

• Metadata is minimal; actual content requires verification after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count, file formats, and license are unknown, which may limit suitability assessment.

Provenance

Source

Kaggle