Skip to content
DraconiticResearch
Search Sources API
203,948 studies31 sourcesUpdated 33 min ago
Peer-reviewedCC BY-NC-ND 4.0Scientific Reports

Concurrency aware artificial intelligence for real-time intrusion detection in software-defined networks

Related

  1. Enhancing Medical Students' Disease Detection Skills: Leveraging Artificial Intelligence Software for Diagnosing Developmental Dysplasia Using Ultrasound Imaging.
    Yu-Ran Heo, Jun-Chae Lee, Yeon-Kyoung Ko +3
    Diagnostics (Basel, Switzerland)Peer-reviewedCC BYFull textEpidemiology & public healthEurope PMC
  2. Adaptive active learning and metaheuristic-optimized transformer framework for robust intrusion detection in software-defined networks
    S. K. Khaja Shareef, Manjunath Chinthakunta, Alpha Vijayan +4
    Scientific ReportsPeer-reviewedCC BY 4.0Full textCrossref
  3. Artificial Intelligence in Common Operating Picture Software for Early Warning and Emergency Management Systems
    Andrei Nicolae Besleaga
    ZenodoPreprintCC BY-NC-ND 4.0Zenodo
  4. PACS-Integrated Artificial Intelligence-Based Software Tool for Rapid and Fully Automatic Bone Fracture Assessment of the Tibial Plateau
    Niklas Tuttle, Denis Zainullin, Mark Heyland +11
    Diagnostics (Basel, Switzerland)Peer-reviewedCC BYFull textGeneral medicineEurope PMC
  5. Educational Artificial Intelligence Software to Support Assessment of Atopic Dermatitis Severity
    Kenichi Yamanaka, Yağmur Pak, Yoshihiro Inda +4
    The Journal of DermatologyPeer-reviewedCC BY 4.0Full textGeneral medicinePMC
BibTeX
@article{kanimozhi2026concurrency,
  title = {{Concurrency aware artificial intelligence for real-time intrusion detection in software-defined networks}},
  author = {R. Kanimozhi and V. Padmavathi and M. Latha},
  journal = {Scientific Reports},
  year = {2026},
  month = oct,
  doi = {10.1038/s41598-026-75362-x},
  url = {https://www.nature.com/articles/s41598-026-75362-x},
  note = {CC BY-NC-ND 4.0},
}
RIS
TY  - JOUR
TI  - Concurrency aware artificial intelligence for real-time intrusion detection in software-defined networks
AU  - R. Kanimozhi
AU  - V. Padmavathi
AU  - M. Latha
PY  - 2026
DA  - 2026/10/21
JO  - Scientific Reports
DO  - 10.1038/s41598-026-75362-x
UR  - https://www.nature.com/articles/s41598-026-75362-x
SN  - 2045-2322
ER  -