Advanced SIEM Dataset: 100,000 Synthetic Security Event Records

A synthetic dataset of 100,000 security event records designed for training machine learning and artificial intelligence models in cybersecurity. It simulates logs from Security Information and Event Management (SIEM) systems, capturing diverse event types such as firewall activities, intrusion detection system alerts, authentication attempts, endpoint activities, network traffic, and cloud events. The dataset was created by author darkknight25 and last updated on July 11, -2025.

Use Cases

• Train anomaly detection models based on simulated firewall and network traffic events.
• Develop classifiers for security alert types based on diverse event categories like IDS alerts and authentication attempts.
• Benchmark AI models for log analysis using the synthetic SIEM log structure.
• Simulate security incident response scenarios based on the dataset's endpoint and cloud activity events.

Strengths

• Contains 100,000 synthetic security event records.
• Designed specifically for training ML/AI models in cybersecurity.
• Simulates a diverse range of event types including firewall, IDS, authentication, endpoint, network, and cloud activities.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is known, but specific file formats and data structure details are unknown.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

darkknight25 on Hugging Face.

Collection Method

Synthetically generated to simulate SIEM system logs.

Time Range

null

Freshness

Last updated 2025-07-11 06:15:51; freshness should be verified.

Geography

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