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A Variant and Flow-Level AutoML Method for IoT Malicious Traffic Detection

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Year: 2025
Type: conference-paper
Source: International Conference on Computer Supported Cooperative Work in Design (CSCWD)
DOI: 10.1109/cscwd64889.2025.11033668
Authors: Chang Gao, Xinqiang Zhao, Xuren Wang, Le Wang, Zijing Fan, Yepeng Yao, Zhengwei Jiang
Institutions: Chinese Academy of Sciences, Institute of Information Engineering, University of Chinese Academy of Sciences, Fujian University of Technology
Language: English

Topic: Network Security and Intrusion Detection
Subfield: Computer Networks and Communications
Field: Computer Science
Domain: Physical Sciences
SDG: Industry, innovation and infrastructure

Open Access status: closed

Funders: National Natural Science Foundation of China, Chinese Academy of Sciences, Natural Science Foundation of Fujian Province, Youth Innovation Promotion Association of the Chinese Academy of Sciences
Awards: G1301344488, G8372602484, G8988890888
OpenAlex ID: W4411551967
FWCI:
Cites: 10
Cited by:
Related to: 10
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