Metaheuristic-Driven Abnormal Traffic Detection Model for SDN Based on Improved Tyrannosaurus Optimization Algorithm
Nowadays, abnormal traffic detection for Software-Defined Networking (SDN) faces the challenges of large data volume and high dimensionality. Since traditional machine learning-based detection methods have the problem of data... | Find, read and cite all the research you need on Tech Science Press
Authors
- Hui Xu (ORCID: https://orcid.org/0000-0001-5326-5094)
- Zhipeng Hu (ORCID: https://orcid.org/0000-0002-6384-0037)
- Jiahui Chen (ORCID: https://orcid.org/0000-0003-4370-0106)
Publication Details
- Journal
- Computers, materials & continua/Computers, materials & continua (Print)
- Published
- 2025-01-01
- DOI
- https://doi.org/10.32604/cmc.2025.062189
- Primary Topic
- Software-Defined Networks and 5G
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China