THULab/cyb008_sample

CYB008 — Synthetic SOC Alert Dataset (Sample) (TsFile)

Apache TsFile version of xpertsystems/cyb008-sample.

Overview

CYB008 — Synthetic SOC Alert Dataset (Sample) — This is a free preview of the full CYB008 — Synthetic SOC Alert Dataset product. It contains roughly ~10% of the full dataset at identical schema, MITRE ATT&CK tactic coverage, and statistical fingerprint, so you can evaluate fit before licensing the full product.

• Tables: alert_events, incident_summary, soc_alerts, soc_topology
• Rows: 65,112 across 4 TsFile table(s).
  • alert_events: 55,298 rows — Time is the source event_timestamp_min simulation clock in minutes, converted to milliseconds (×60,000).
  • incident_summary: 589 rows — Time is the source first_alert_timestamp_min simulation clock in minutes, converted to milliseconds (×60,000).
  • soc_alerts: 9,200 rows — Time is the source alert_timestamp_min simulation clock in minutes, converted to milliseconds (×60,000).
  • soc_topology: 25 rows — Time is synthetic row index over the stable source order (0 … N-1); the source table has no per-row clock.

Schema (TsFile structure)

alert_events.tsfile

• Time (INT64, milliseconds) — the source event_timestamp_min simulation clock in minutes, converted to milliseconds (×60,000).
• TAG: analyst_id — device dimension(s); query one device with WHERE analyst_id=....
• FIELD (9): event_id (string), alert_id (string), event_type (string), alert_severity (string), mitre_tactic (string), detection_source_id (string), escalation_target_tier (string), soar_playbook_id (string), partner_alert_id (string)

incident_summary.tsfile

• Time (INT64, milliseconds) — the source first_alert_timestamp_min simulation clock in minutes, converted to milliseconds (×60,000).
• TAG: incident_id — device dimension(s); query one device with WHERE incident_id=....
• FIELD (21): soc_id (int64), analyst_id_lead (int64), incident_severity (string), incident_type (string), alert_count_linked (int64), incident_declared_timestamp_min (double), incident_closed_timestamp_min (double), mttd_minutes (double), mttr_minutes (double), false_positive_rate (double), escalation_count (int64), soar_actions_taken (int64), analyst_tier_peak (string), kill_chain_stages_observed (int64), mitre_tactics_covered (string), containment_action_count (int64), threat_hunt_triggered (int64), incident_success_flag (int64), analyst_fatigue_score (double), sla_breached_flag (int64), auto_resolution_fraction (double)

soc_alerts.tsfile

• Time (INT64, milliseconds) — the source alert_timestamp_min simulation clock in minutes, converted to milliseconds (×60,000).
• TAG: soc_id — device dimension(s); query one device with WHERE soc_id=....
• FIELD (25): alert_id (string), incident_id (string), analyst_id (int64), shift_id (string), alert_lifecycle_phase (string), alert_severity (string), alert_source (string), mitre_tactic (string), mitre_technique_id (string), detection_rule_id (string), raw_score (double), enriched_score (double), analyst_tier (string), time_in_phase_minutes (double), queue_depth_at_ingestion (int64), soar_playbook_triggered (int64), automation_resolved (int64), escalation_flag (int64), sla_breached_flag (int64), resolution_outcome (string), mttd_minutes (double), mttr_minutes (double), fatigue_score_at_alert (double), siem_platform (string), soar_playbook_id (string)

soc_topology.tsfile

• Time (INT64, milliseconds) — synthetic row index over the stable source order (0 … N-1); the source table has no per-row clock.
• TAG: soc_id — device dimension(s); query one device with WHERE soc_id=....
• FIELD (12): analyst_id (int64), analyst_tier (string), shift_pattern (string), siem_platform (string), detection_source_type (string), automation_coverage_fraction (double), soar_playbook_count (int64), detection_rule_count (int64), alert_volume_daily_mean (int64), false_positive_rate_baseline (double), escalation_policy (string), max_concurrent_alerts (int64)

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_events.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/cyb008-sample
• Source card title / publisher: CYB008 — Synthetic SOC Alert Dataset (Sample)
• License: cc-by-nc-4.0 (as declared by the original dataset).