THULab/cyb010_sample

CYB010 — Synthetic Security Event Log Dataset (Sample) (TsFile)

Apache TsFile version of xpertsystems/cyb010-sample.

Overview

CYB010 — Synthetic Security Event Log Dataset (Sample) — This is a free preview of the full CYB010 — Synthetic Security Event Log Dataset product. It contains roughly ~10% of the full dataset at identical schema, MITRE ATT&CK technique coverage, and statistical fingerprint, so you can evaluate fit before licensing the full product.

• Tables: alert_records, host_inventory, incident_summary, security_events
• Rows: 27,958 across 4 TsFile table(s).
  • alert_records: 5,162 rows, 2024-01-02 20:47:00.595000 → 2025-03-23 01:53:19.867000 (UTC)
  • host_inventory: 400 rows — Time is synthetic row index over the stable source order (0 … N-1); the source table has no per-row clock.
  • incident_summary: 500 rows, 2024-01-01 00:56:18.777000 → 2024-12-30 18:22:58.977000 (UTC)
  • security_events: 21,896 rows, 2024-01-01 00:56:29.283000 → 2025-04-10 03:36:47.436000 (UTC)

Schema (TsFile structure)

alert_records.tsfile

• Time (INT64, milliseconds) — the source timestamp timestamp as INT64 milliseconds.
• TAG: host_id — device dimension(s); query one device with WHERE host_id=....
• FIELD (19): alert_id (string), correlated_event_ids (string), alert_rule_id (string), alert_rule_name (string), user_id (string), threat_actor_id (string), severity_level (string), alert_category (string), mitre_technique_id (string), mitre_tactic (string), label_true_positive (int64), label_false_positive (int64), analyst_triage_priority (string), suppressed_flag (int64), suppression_reason (string), time_to_detect_seconds (double), siem_platform_type (string), correlated_chain_length (int64), incident_id (string)

host_inventory.tsfile

• Time (INT64, milliseconds) — synthetic row index over the stable source order (0 … N-1); the source table has no per-row clock.
• TAG: host_id — device dimension(s); query one device with WHERE host_id=....
• FIELD (14): hostname (string), ip_address (string), os_type (string), os_version (string), host_role (string), network_segment (string), defender_posture_tier (string), edr_agent_installed (int64), patch_compliance_level (double), criticality_rating (string), cloud_provider (string), cloud_region (string), vulnerability_count_open (int64), siem_platform (string)

incident_summary.tsfile

• Time (INT64, milliseconds) — the source campaign_start_timestamp timestamp as INT64 milliseconds.
• TAG: incident_id — device dimension(s); query one device with WHERE incident_id=....
• FIELD (22): threat_actor_id (string), threat_actor_profile (string), campaign_end_timestamp (string), dwell_time_hours (double), attack_lifecycle_phase_reached (string), total_events_generated (int64), total_alerts_triggered (int64), true_positive_alerts (int64), false_positive_alerts (int64), alert_suppression_count (int64), hosts_compromised (int64), lateral_movement_hops (int64), persistence_mechanisms_installed (int64), data_volume_staged_gb (double), exfiltration_attempted_flag (int64), detection_outcome (string), time_to_detect_hours (double), mitre_tactics_observed (string), incident_success_flag (int64), defender_posture_tier (string), false_positive_rate_campaign (double), noise_signal_ratio (double)

security_events.tsfile

• Time (INT64, milliseconds) — the source timestamp timestamp as INT64 milliseconds.
• TAG: host_id — device dimension(s); query one device with WHERE host_id=....
• FIELD (21): event_id (string), user_id (string), source_ip (string), dest_ip (string), source_port (int64), dest_port (int64), event_class (string), event_type (string), log_source_type (string), severity_level (string), attack_lifecycle_phase (string), mitre_technique_id (string), mitre_tactic (string), label_malicious (int64), label_false_positive (int64), label_log_tampered (int64), threat_actor_id (string), threat_actor_profile (string), cvss_score_analogue (double), raw_log_payload (string), incident_id (string)

Conversion notes

• Each CSV of the sample is converted into its own TsFile table (4 tables), so no table is merged with another and no column is dropped.
• Event/telemetry tables use the source simulation clock as Time (INT64 milliseconds): timestep step counters and millisecond offsets are stored as-is, minute-based columns are multiplied by 60,000, and ISO/UTC strings are parsed to epoch milliseconds.
• Static inventory/topology/summary tables have no per-row clock; their Time is a synthetic row index (0..N-1) over the stable source order.
• Low-cardinality dimensions of each table (campaign/incident/asset/session ids, phases, labels) are declared as TAG columns; query one simulation with e.g. WHERE campaign_id='...'.

Usage

Install the Apache TsFile Python SDK (pip install tsfile) and read a converted file:

from pathlib import Path
from tsfile import TsFileReader

path = Path("alert_records.tsfile")
with TsFileReader(str(path)) as reader:
    schemas = reader.get_all_table_schemas()
    print("tables:", list(schemas))
    table_name = next(iter(schemas))
    table = schemas[table_name]
    columns = [column.get_column_name() for column in table.get_columns()]
    print("columns:", columns)
    field_names = [
        column.get_column_name()
        for column in table.get_columns()
        if column.get_column_name() not in {"Time", "time"}
    ]
    if field_names:
        with reader.query_table(table_name, field_names[:3], batch_size=1024) as result:
            batch = result.read_arrow_batch()
            if batch is not None:
                print(batch.to_pandas().head())

Source & license

• Original dataset: xpertsystems/cyb010-sample
• Source card title / publisher: CYB010 — Synthetic Security Event Log Dataset (Sample)
• License: cc-by-nc-4.0 (as declared by the original dataset).