Concepedia

Flow-based Detection

Flow-Based Detection is an intrusion detection approach that belongs to the category of network-based detection methods, distinguished by its analysis of network flow records to identify anomalous or malicious behavior based on aggregated connection-level features rather than raw packet data.

542

Publications

25.5K

Citations

1.6K

Authors

585

Institutions

Publications per year

2017–2026

270

Parents

Publications

542

Developing Realistic Distributed Denial of Service (DDoS) Attack Dataset and Taxonomy

Iman Sharafaldin, Arash Habibi Lashkari, Saqib Hakak et al. · 2019 · 1.1K citations

, , +14

Deep learning approach for Network Intrusion Detection in Software Defined Networking

Tuan Anh Tang, Lotfi Mhamdi, Des McLernon et al. · 2016 · 800 citations

, , +17

Lightweight DDoS flooding attack detection using NOX/OpenFlow

Rodrigo Braga, Edjard Mota, Alexandre Passito · 2010 · 723 citations

, , +15

Traffic classification on the fly

Laurent Bernaille, Renata Teixeira, Ismael Akodkenou et al. · ACM SIGCOMM Computer Communication Review · 2006 · 576 citations · Full text

, , +17

Combining OpenFlow and sFlow for an effective and scalable anomaly detection and mitigation mechanism on SDN environments

Kostas Giotis, Christos Argyropoulos, G. Androulidakis et al. · Computer Networks · 2013 · 462 citations · Full text

, , +11

1–5 of 542

Authors

1.6K

  1. AP
    Aiko Pras

    University of Twente, Netherlands

    8 publications · 693 citations

    8

    h-index

  2. AS
    Anna Sperotto

    University of Twente, Netherlands

    7 publications · 682 citations

    7

    h-index

  3. GV
    George Varghese

    University of California San Diego, United States

    7 publications · 681 citations

    7

    h-index

  4. DT
    Dan Tang

    Hunan University, China

    6 publications · 245 citations

    6

    h-index

  5. ND
    Nick Duffield

    AT&T (United States), United States

    6 publications · 575 citations

    6

    h-index

1–5 of 1.6K

Institutions

585

  1. Tsinghua University

    Beijing, China

    10 h-index

    25 publications

    745 citations

  2. University of Twente

    Enschede, The Netherlands

    9 h-index

    30 publications

    2.2K citations

  3. University of California San Diego

    San Diego, United States

    8 h-index

    21 publications

    1.9K citations

  4. Hunan University

    Changsha, China

    7 h-index

    30 publications

    1.2K citations

  5. Institute of Information Engineering

    Beijing, China

    7 h-index

    31 publications

    744 citations

  6. Chinese Academy of Sciences

    Beijing, China

    7 h-index

    20 publications

    396 citations

  7. AT&T (United States)

    Bedminster, United States

    7 h-index

    19 publications

    1.7K citations

  8. University of Chinese Academy of Sciences

    Beijing, China

    7 h-index

    28 publications

    725 citations

1–8 of 585

Venues

  1. IEEE Access

    13 publications · 926 citations

    12

    h-index

  2. IEEE/ACM Transactions on Networking

    TON · 10 publications · 922 citations

    10

    h-index

  3. IEEE Communications Letters

    8 publications · 399 citations

    8

    h-index

  4. IEEE Transactions on Network and Service Management

    TNSM · 7 publications · 436 citations

    7

    h-index

  5. Security and Communication Networks

    7 publications · 137 citations

    7

    h-index

1–5