Network Traffic Analytics and Flow Data (NetFlow/IPFIX)

This dataset provides comprehensive network flow analytics, capturing source and destination details, protocols, traffic volumes, flow durations, and autonomous system numbers. It includes traffic classification and anomaly detection flags, making it ideal for network monitoring, security analysis, and performance optimization across enterprise and service provider environments.

  • last updated 1 Nov 2025
  • by GoMask
The brief that made it

Real-time network traffic monitoring and visualization

Sample rows

preview · 8 of 1,002 rows · all 19 columns
flow_idstringtraffic_classificationstringdst_portintegeranomaly_flagbooleanprotocolstringtimestamp_startdatetimetimestamp_enddatetimeduration_secondsfloatsrc_ipstringsrc_portintegerdst_ipstringbyte_countintegerpacket_countintegersrc_asnintegerdst_asnintegeranomaly_typestringflow_directionstringdevice_idstringexport_protocolstring
FLO-000001web50821falseTCP2024-06-04T09:15:23Z2024-06-04T09:16:10Z47192.168.13.424432607:f8b0:4005:805::200e1298522151698075noneoutbounddev-west-001NetFlow
FLO-000002web53falseUDP2024-06-04T10:02:44Z2024-06-04T10:02:44Z010.1.48.433445198.51.100.196512047313335noneoutbounddev-west-002IPFIX
FLO-000003file-transfer3389falseTCP2024-06-04T11:30:18Z2024-06-04T11:30:55Z37172.16.0.115201203.0.113.6634061413740964500noneinbounddev-north-001NetFlow
FLO-000004web443falseTCP2024-06-04T12:08:32Z2024-06-04T12:08:37Z52001:db8:85a3::8a2e:370:73348080192.0.2.5044082345615169noneinbounddev-east-001sFlow
FLO-000005streaming1935falseUDP2024-06-04T12:24:03Z2024-06-04T12:35:18Z675203.0.113.8749500192.168.1.10087422014806451223456noneinbounddev-north-002NetFlow
FLO-000006gaming27015falseUDP2024-06-04T13:11:03Z2024-06-04T13:12:09Z6610.0.0.3227015192.168.0.451203412051333513335noneinternaldev-west-003NetFlow
FLO-000007voip5060falseUDP2024-06-04T13:26:41Z2024-06-04T13:27:41Z60192.168.10.105060203.0.113.100205126807564512noneoutbounddev-south-001NetFlow
FLO-000008web443falseTCP2024-06-04T14:00:00Z2024-06-04T14:05:10Z3102001:db8:abcd:0012::180198.51.100.23930121102047315169noneoutbounddev-east-002sFlow

What the 1,002 rows show

from the 1,002-row sample

P2p (traffic classification) stands out: mean dst_port is 33,007, against 7,000 for the rest.

  • 13%anomaly_flag = true
  • 1,935median dst_port
  • 3flow directions
  • 3export protocols
  • 6anomaly types
  • 79.0median duration_seconds
Mean dst_port by traffic_classification1,002 rows
020k40k5,666web303 r…6,266stre…102 r…33,007p2p109 r…6,103voip107 r…9,973gami…86 ro…7,133file…114 r…8,679other181 r…
dst_port1,002 rows, in bands of 10k
04208408321195409114040k70kdst_port →

Median 1,935, from 20 to 65,535.

protocol1,002 rows · 6 values
  1. TCP671
  2. UDP322
  3. ICMP6
  4. ESP1
  5. AH1
  6. GRE1
19 columns by typefrom the column list below
  • string 9
  • integer 6
  • float 1
  • datetime 2
  • boolean 1

Columns

19 columns in four groups
blueprint · 19 columns
columntypedescriptionexample
Text 9 columns
flow_idstringUnique identifier for the network flow recorduniqueFLO-000001
src_ipstringSource IPv4 or IPv6 address192.168.13.42
dst_ipstringDestination IPv4 or IPv6 address2607:f8b0:4005:805::200e
protocolstringNetwork protocol used (e.g., TCP, UDP, ICMP)7 valuesTCP
traffic_classificationstringClassification of traffic type (e.g., web, streaming, P2P, VoIP)7 values · optionalweb
anomaly_typestringType of anomaly detected (e.g., DDoS, port scan, data exfiltration)6 values · optionalnone
flow_directionstringDirection of the flow relative to the monitored network (inbound, outbound, internal)inbound · outbound · internal · optionaloutbound
device_idstringIdentifier for the network device that exported this flow recordoptionaldev-west-001
export_protocolstringProtocol used to export the flow record (NetFlow, sFlow, IPFIX)NetFlow · sFlow · IPFIXNetFlow
Numbers 7 columns
duration_secondsfloatDuration of the flow in seconds0 or more47
src_portintegerSource port number0 to 65.5k443
dst_portintegerDestination port number0 to 65.5k50821
byte_countintegerTotal number of bytes transferred in the flow0 or more12985
packet_countintegerTotal number of packets transferred in the flow0 or more22
src_asnintegerAutonomous System Number (ASN) of the source IP0 or more · optional15169
dst_asnintegerAutonomous System Number (ASN) of the destination IP0 or more · optional8075
Dates and times 2 columns
timestamp_startdatetimeDate and time when the flow started2024-06-04T09:15:23Z
timestamp_enddatetimeDate and time when the flow ended2024-06-04T09:16:10Z
True or false 1 column
anomaly_flagbooleanIndicates if the flow was flagged as anomalousfalse

Use it for

  • anomaly flag13%126 of 1,002 rowsmean dst port by traf…5.7kweb6.3kstre…33kp2p6.1kvoip

    A telecommunications dashboard

    The anomaly_flag rate, dst_port by traffic_classification and a breakdown of protocol. Excel, Power BI or Tableau.

  • Why do the 109 p2p rows have a mean dst_port of 33,007?

    A root-cause class exercise

    Hand out the rows and one question. The answer is in the data, not in the brief.

  • A software demo

    Believable flows with timestamp_start, timestamp_end and duration_seconds to fill a screen in front of a buyer.

Not quite right?

Make it yours.

Same 19 columns, your size and your rules. See 20 rows before you pay.

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1,000 rows: $1.99 · 10,000: $12.99One-time. No subscription. All prices

This dataset1,002 rows19 columns
Yours1,000 rows19 columns

blueprint · network-traffic-analytics-and-flow-data-netflowipfix

Behind this dataset

Same schema. As many rows as you need.

These 1,002 rows came out of a blueprint — 19 columns with generation rules behind each one. Open it in Data Factory to retune a column, add your own, wire in foreign keys, and run it at the size you actually need.

Rules it was built with
  • Flow record ID and export timestamp from router/switch
  • 5-tuple: source IP, destination IP, source port, dest port, protocol (TCP/UDP/ICMP)
  • Byte and packet counts for flow volume
  • Flow start time and flow duration (seconds)
  • Input/output interface on network device
  • AS numbers for source and destination (BGP context)
  • Traffic classification: P2P (BitTorrent), video streaming, web, gaming, VoIP
  • Anomaly detection: traffic spikes, unusual port usage, suspicious patterns
Rows
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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
network-traffic-analytics-and-flow-data-netflowipfix

What should your data show?

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