New class detection in network traffic classification using confidence information embedded cascade structure

Lu, H. orcid.org/0009-0009-9245-1389, Dong, Y. orcid.org/0000-0003-4898-331X, Wu, Z. et al. (2 more authors) (2025) New class detection in network traffic classification using confidence information embedded cascade structure. IEEE Transactions on Network Science and Engineering. ISSN 2327-4697

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Item Type: Article
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© 2025 The Authors. Except as otherwise noted, this author-accepted version of a journal article published in IEEE Transactions on Network Science and Engineering is made available via the University of Sheffield Research Publications and Copyright Policy under the terms of the Creative Commons Attribution 4.0 International License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/

Keywords: open set flow recognition; confidence difference; new class detection; unlabelled dataset; network traffic classification
Dates:
  • Published: 6 February 2025
  • Published (online): 6 February 2025
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > School of Electrical and Electronic Engineering
Depositing User: Symplectic Sheffield
Date Deposited: 17 Feb 2025 16:39
Last Modified: 17 Feb 2025 16:39
Status: Published online
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Refereed: Yes
Identification Number: 10.1109/tnse.2025.3538564
Open Archives Initiative ID (OAI ID):

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