Autors: Ivanova, V., Tashev, T. A., Draganov, I. R.
Title: DDoS Attacks Classification using SVM
Keywords: Distributed denial of service, Internet of things, Kernel fu

References

    Issue

    WSEAS Transactions on Information Science and Applications, vol. 19, pp. 1-11, 2022, United States, WSEAS, DOI 10.37394/23209.2022.19.1

    Copyright WSEAS

    Цитирания (Citation/s):
    1. Bibi S., Zulkifli N., Safdar G.A., Iqbal S., Support Vector Machine (SVM) based Detection for Volumetric Bandwidth Distributed Denial of Service (DVB-DDOS) Attack within Gigabit Passive Optical Network, 2025, Sinergi (Indonesia), issue 1, vol. 29, pp. 185-196, DOI 10.22441/sinergi.2025.1.017, issn 14102331, eissn 24601217 - 2025 - в издания, индексирани в Scopus
    2. Li Y., Deng X., Yang A., Gao J., A Transformer-Based Framework for DDoS Attack Detection via Temporal Dependency and Behavioral Pattern Modeling, 2025, Algorithms, issue 10, vol. 18, DOI 10.3390/a18100628, eissn 19994893 - 2025 - в издания, индексирани в Scopus

    Вид: статия в списание, публикация в издание с импакт фактор, публикация в реферирано издание, индексирана в Scopus