6 datasets found
  1. Netflow data with sampling 250 for training (D1)

    • zenodo.org
    • data.niaid.nih.gov
    • +1more
    csv
    Updated Jan 14, 2022
    + more versions
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    Ignacio Crespo; Ignacio Crespo; Adrián Campazas; Adrián Campazas (2022). Netflow data with sampling 250 for training (D1) [Dataset]. http://doi.org/10.5281/zenodo.5849288
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jan 14, 2022
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Ignacio Crespo; Ignacio Crespo; Adrián Campazas; Adrián Campazas
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    NetFlow traffic generated using DOROTHEA (DOcker-based fRamework fOr gaTHering nEtflow trAffic) NetFlow is a network protocol developed by Cisco for the collection and monitoring of network traffic flow data generated. A flow is defined as a unidirectional sequence of packets with some common properties that pass through a network device.

    NetFlow flows have been captured with sampling 250 at the packet level. A sampling means that 1 out of every X packets is selected to be flow while the rest of the packets are not valued.

    The version of NetFlow used to build the datasets is 5.

  2. Network data schema in the Netflow V9 format

    • kaggle.com
    zip
    Updated Feb 1, 2023
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    Ashutosh Sharma (2023). Network data schema in the Netflow V9 format [Dataset]. https://www.kaggle.com/datasets/ashtcoder/network-data-schema-in-the-netflow-v9-format
    Explore at:
    zip(275705142 bytes)Available download formats
    Dataset updated
    Feb 1, 2023
    Authors
    Ashutosh Sharma
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The network data schema is in the Netflow V9 format. Given two files 'train_net.csv' and 'test_net.csv', train_net.csv explains when the particular ALERT will happen. There are 4 classes present in the dataset, named following: 'None', 'Port Scanning', 'Denial of Service', 'Malware'.

    Acknowledgements

    SIMARGL Project – Secure Intelligent Methods for Advanced RecoGnition of malware and stegomalware, with the support of the European Commission and the Horizon 2020 Program, under Grant Agreement No. 833042.

    Cite

    Maria-Elena Mihailescu, Darius Mihai, Mihai Carabas, Mikolaj Komisarek, Marek Pawlicki, Witold Holubowicz, Rafal Kozik: The Proposition and Evaluation of the RoEduNet-SIMARGL2021 Network Intrusion Detection Dataset. Sensors 21(13): 4319 (2021)

  3. d

    exchange netflow - example

    • dune.com
    Updated Oct 19, 2025
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    siktiriboktan (2025). exchange netflow - example [Dataset]. https://dune.com/discover/content/relevant?q=author:siktiriboktan&resource-type=queries
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    Dataset updated
    Oct 19, 2025
    Authors
    siktiriboktan
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Blockchain data query: exchange netflow - example

  4. G

    NetFlow Analyzer Market Research Report 2033

    • growthmarketreports.com
    csv, pdf, pptx
    Updated Aug 22, 2025
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    Growth Market Reports (2025). NetFlow Analyzer Market Research Report 2033 [Dataset]. https://growthmarketreports.com/report/netflow-analyzer-market
    Explore at:
    csv, pdf, pptxAvailable download formats
    Dataset updated
    Aug 22, 2025
    Dataset authored and provided by
    Growth Market Reports
    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    NetFlow Analyzer Market Outlook



    According to our latest research, the global NetFlow Analyzer market size in 2024 stands at USD 1.42 billion, reflecting robust demand across diverse industries. Driven by the increasing need for comprehensive network visibility and security, the market is set to expand at a Compound Annual Growth Rate (CAGR) of 11.3% from 2025 to 2033. By the end of the forecast period, the NetFlow Analyzer market is expected to reach USD 3.72 billion. This remarkable growth trajectory is attributed to the surge in network complexity, escalating cyber threats, and the widespread adoption of cloud-based infrastructure, all of which are compelling organizations to invest in advanced network traffic analysis solutions.




    A primary growth driver for the NetFlow Analyzer market is the escalating sophistication of cyber threats and the corresponding need for enhanced network security and visibility. Enterprises across sectors are increasingly recognizing the importance of real-time network monitoring to detect anomalies, prevent data breaches, and ensure regulatory compliance. With the proliferation of IoT devices, cloud computing, and mobile endpoints, network architectures have become more intricate, making traditional monitoring tools insufficient. NetFlow Analyzer solutions, leveraging flow-based monitoring, offer granular insights into network traffic, enabling organizations to identify suspicious patterns, optimize bandwidth usage, and maintain robust security postures. This growing awareness and the critical need for proactive threat detection are fueling the rapid adoption of NetFlow Analyzer solutions globally.




    Another significant factor propelling market growth is the digital transformation wave sweeping across industries. Enterprises are increasingly migrating workloads to the cloud, adopting hybrid environments, and leveraging virtualized networks to enhance agility and scalability. These trends, while beneficial, introduce new challenges in network management and performance optimization. NetFlow Analyzer tools, with their ability to provide deep visibility into network flows, traffic patterns, and application performance, have become indispensable for IT teams striving to maintain high availability and user experience. The demand for advanced analytics, real-time reporting, and automated alerting capabilities is further driving innovation in the NetFlow Analyzer market, as vendors continuously enhance their offerings to meet evolving enterprise requirements.




    The market is also benefiting from the growing emphasis on regulatory compliance and data privacy. Regulations such as GDPR, HIPAA, and PCI DSS mandate stringent controls over network traffic, data access, and incident response. NetFlow Analyzer solutions play a pivotal role in helping organizations monitor network activities, generate audit trails, and demonstrate compliance with industry standards. The ability to correlate flow data with security events, generate compliance reports, and support forensic investigations is prompting organizations in highly regulated sectors, such as BFSI, healthcare, and government, to invest in robust NetFlow Analyzer platforms. This compliance-driven adoption is expected to sustain market growth over the forecast period.




    From a regional perspective, North America continues to dominate the NetFlow Analyzer market, accounting for the largest revenue share in 2024. The region’s leadership is underpinned by the presence of major technology providers, early adoption of advanced network management tools, and a high incidence of cyberattacks. Europe and Asia Pacific are also witnessing substantial growth, fueled by increasing investments in IT infrastructure, expanding digital economies, and the rising need for network visibility in emerging markets. Latin America and the Middle East & Africa, while smaller in market size, are experiencing steady adoption as organizations modernize their network operations and prioritize security. The global nature of digital transformation and the universal imperative for network security are ensuring that demand for NetFlow Analyzer solutions remains strong across all regions.



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  5. Appraise H2020 - Real labelled netflow dataset

    • kaggle.com
    Updated May 14, 2023
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    itti (2023). Appraise H2020 - Real labelled netflow dataset [Dataset]. https://www.kaggle.com/datasets/ittibydgoszcz/appraise-h2020-real-labelled-netflow-dataset
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    May 14, 2023
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    itti
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description
    Field NameDescription
    FLOW_IDUnique identificator of flow
    IPV4_SRC_ADDRIPv4 source address
    IPV4_DST_ADDRIPv4 destination address
    IN_PKTSNumber of incoming packets
    IN_BYTESNumber of incoming bytes
    OUT_PKTSNumber of outgoing packets
    OUT_BYTESNumber of outgoing bytes
    FIRST_SWITCHEDTime of first packet in the flow
    LAST_SWITCHEDTime of last packet in the flow
    L4_SRC_PORTLayer 4 source port
    L4_DST_PORTLayer 4 destination port
    TCP_FLAGSTCP flags
    PROTOCOLProtocol
    PROTOCOL_MAPProtocol map
    TOTAL_FLOWS_EXPTotal flows experienced
    L7_PROTOLayer 7 protocol
    L7_PROTO_NAMELayer 7 protocol name
    ANOMALY_CATEGORYName of classification flow
    ANOMALYBinary classification flow

    This work is co-funded under the APPRAISE Project – fAcilitating Public & Private secuRity operAtors to mitigate terrorIsm Scenarios against soft targEts, with the support of the European Commission and the Horizon 2020 Program, under Grant Agreement No. 101021981.

  6. G

    NetFlow‑to‑Kafka Bridge Market Research Report 2033

    • growthmarketreports.com
    csv, pdf, pptx
    Updated Oct 6, 2025
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    Growth Market Reports (2025). NetFlow‑to‑Kafka Bridge Market Research Report 2033 [Dataset]. https://growthmarketreports.com/report/netflowtokafka-bridge-market
    Explore at:
    pptx, csv, pdfAvailable download formats
    Dataset updated
    Oct 6, 2025
    Dataset authored and provided by
    Growth Market Reports
    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    NetFlow‑to‑Kafka Bridge Market Outlook



    According to our latest research, the global NetFlow-to-Kafka Bridge market size in 2024 stands at USD 412 million, registering a robust growth trajectory. The market is projected to expand at a CAGR of 18.4% from 2025 to 2033, reaching a forecasted value of approximately USD 1,964 million by 2033. This remarkable growth is primarily driven by the increasing adoption of real-time data streaming solutions, the proliferation of networked devices, and the heightened demand for actionable network intelligence across diverse industries.




    One of the key growth factors propelling the NetFlow-to-Kafka Bridge market is the surge in enterprise digital transformation initiatives. Organizations across industries are migrating from legacy systems to modern data architectures that emphasize real-time visibility and actionable insights. This transition is fueling demand for solutions that can seamlessly bridge network flow data with scalable streaming platforms like Apache Kafka. As businesses strive for operational efficiency and enhanced security, the ability to ingest, process, and analyze high-volume network telemetry data in real time has become indispensable. The NetFlow-to-Kafka Bridge plays a pivotal role in enabling this capability, allowing enterprises to proactively monitor, detect anomalies, and ensure optimal network performance.




    Another significant driver is the exponential growth in network traffic, spurred by the adoption of cloud computing, IoT devices, and remote work models. The complexity of modern network environments has made traditional monitoring and analytics tools insufficient for handling the sheer volume and velocity of data. NetFlow-to-Kafka Bridge solutions address this challenge by providing scalable, low-latency data pipelines that transport network flow records directly into Kafka clusters for downstream processing and analytics. This capability is especially crucial for large-scale enterprises and service providers who require high granularity and flexibility in network monitoring and security analytics. As a result, the demand for these bridge solutions is expected to rise steadily, particularly among organizations with complex, distributed IT infrastructures.




    Furthermore, regulatory compliance and the increasing sophistication of cyber threats are catalyzing the adoption of advanced network analytics platforms. Governments and industries such as BFSI, healthcare, and telecommunications are under mounting pressure to safeguard sensitive data and ensure uninterrupted service delivery. The NetFlow-to-Kafka Bridge serves as a critical enabler for real-time security analytics, anomaly detection, and forensic investigations by facilitating the seamless integration of network telemetry with big data and security information event management (SIEM) systems. This trend is expected to intensify as regulatory frameworks evolve and cyber risks become more pervasive, further boosting market growth.




    From a regional perspective, North America currently dominates the NetFlow-to-Kafka Bridge market, accounting for the largest share in 2024, driven by the early adoption of advanced IT infrastructure and a strong focus on cybersecurity. However, the Asia Pacific region is poised for the fastest growth during the forecast period, fueled by rapid digitalization, expanding enterprise IT investments, and increasing awareness of network security. Europe also represents a significant market, characterized by stringent data protection regulations and a mature technology landscape. Latin America and the Middle East & Africa are emerging markets, witnessing gradual uptake of NetFlow-to-Kafka Bridge solutions as digital transformation initiatives gain momentum. Overall, the global market outlook remains highly favorable, with strong growth anticipated across all major regions.





    Component Analysis



    The NetFlow-to-Kafka Bridge market is segmented by component into software, hardware, and services, each playing a distinct and vit

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Click to copy link
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Close
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Ignacio Crespo; Ignacio Crespo; Adrián Campazas; Adrián Campazas (2022). Netflow data with sampling 250 for training (D1) [Dataset]. http://doi.org/10.5281/zenodo.5849288
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Netflow data with sampling 250 for training (D1)

Explore at:
csvAvailable download formats
Dataset updated
Jan 14, 2022
Dataset provided by
Zenodohttp://zenodo.org/
Authors
Ignacio Crespo; Ignacio Crespo; Adrián Campazas; Adrián Campazas
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Description

NetFlow traffic generated using DOROTHEA (DOcker-based fRamework fOr gaTHering nEtflow trAffic) NetFlow is a network protocol developed by Cisco for the collection and monitoring of network traffic flow data generated. A flow is defined as a unidirectional sequence of packets with some common properties that pass through a network device.

NetFlow flows have been captured with sampling 250 at the packet level. A sampling means that 1 out of every X packets is selected to be flow while the rest of the packets are not valued.

The version of NetFlow used to build the datasets is 5.

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