THULab/cyb001_sample

CYB001 — Synthetic Network Traffic (Sample) (TsFile)

Apache TsFile version of xpertsystems/cyb001-sample.

Overview

CYB001 — Synthetic Network Traffic Dataset (Sample) — This is a free preview of the full CYB001 — Synthetic Network Traffic Dataset product. It contains roughly 1 / 60th of the full dataset at identical schema, label distribution, and statistical fingerprint, so you can evaluate fit before licensing the full product.

• Tables: flow_events, network_flows, network_topology, session_summary
• Rows: 16,401 across 4 TsFile table(s).
  • flow_events: 5,431 rows — Time is the source timestamp_offset_ms offset in milliseconds.
  • network_flows: 9,770 rows, 2024-01-01 01:12:21.832000 → 2024-01-30 23:52:14.441000 (UTC)
  • network_topology: 200 rows — Time is synthetic row index over the stable source order (0 … N-1); the source table has no per-row clock.
  • session_summary: 1,000 rows, 2024-01-01 01:10:27 → 2024-01-30 23:47:40 (UTC)

Schema (TsFile structure)

flow_events.tsfile

• Time (INT64, milliseconds) — the source timestamp_offset_ms offset in milliseconds.
• TAG: segment_id — device dimension(s); query one device with WHERE segment_id=....
• FIELD (9): flow_id (string), session_id (string), event_type (string), source_port (int64), dest_port (int64), protocol (string), packet_size_bytes (int64), payload_entropy (double), event_severity (string)

network_flows.tsfile

• Time (INT64, milliseconds) — the source flow_start_timestamp timestamp as INT64 milliseconds.
• TAG: segment_id — device dimension(s); query one device with WHERE segment_id=....
• FIELD (36): flow_id (string), session_id (string), source_ip_hash (string), destination_ip_hash (string), source_port (int64), dest_port (int64), protocol (string), flow_duration_ms (int64), total_fwd_packets (int64), total_bwd_packets (int64), total_bytes_fwd (int64), total_bytes_bwd (int64), fwd_packet_len_mean (int64), fwd_packet_len_std (int64), bwd_packet_len_mean (int64), bwd_packet_len_std (int64), flow_bytes_per_sec (double), flow_packets_per_sec (double), inter_arrival_time_mean (double), inter_arrival_time_std (double), tcp_flag_syn_count (int64), tcp_flag_ack_count (int64), tcp_flag_fin_count (int64), tcp_flag_rst_count (int64), tcp_flag_psh_count (int64), tcp_flag_urg_count (int64), flow_lifecycle_phase (string), traffic_category (string), attack_subcategory (string), label (string), source_device_type (string), dest_device_type (string), attacker_capability_tier (string), retransmission_flag (int64), fragmentation_flag (int64), protocol_violation_flag (int64)

network_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: segment_id — device dimension(s); query one device with WHERE segment_id=....
• FIELD (17): detector_id (string), segment_type (string), trust_level (double), firewall_policy (string), allowed_protocols (string), avg_concurrent_flows (int64), bandwidth_mbps (double), nat_enabled (int64), ids_coverage (double), qos_policy (string), diurnal_peak_factor (double), feature_space_dim (int64), alert_threshold (double), retraining_cadence_days (int64), ensemble_size (int64), defender_architecture (string), device_count (int64)

session_summary.tsfile

• Time (INT64, milliseconds) — the source session_start_timestamp timestamp as INT64 milliseconds.
• TAG: segment_id — device dimension(s); query one device with WHERE segment_id=....
• FIELD (22): session_id (string), source_ip_hash (string), destination_ip_hash (string), session_duration_sec (double), total_flows (int64), total_bytes_transferred (int64), total_packets (int64), dominant_protocol (string), primary_traffic_category (string), label (string), attack_subcategory (string), attacker_capability_tier (string), source_device_type (string), dest_device_type (string), payload_entropy_mean (double), retransmission_rate (double), protocol_violation_count (int64), c2_beacon_flag (int64), exfil_volume_bytes (double), scan_probe_count (int64), lateral_move_flag (int64), session_risk_score (double)

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("flow_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/cyb001-sample
• Source card title / publisher: CYB001 — Synthetic Network Traffic (Sample)
• License: cc-by-nc-4.0 (as declared by the original dataset).