Work

Exploring the Effectiveness of Traditional Machine Learning Models in IoT Malicious Traffic Detection

Year: 2025

Type: conference-paper

Source: International Conference on Computer Supported Cooperative Work in Design (CSCWD)

DOI: 10.1109/cscwd64889.2025.11033515

Authors: Chong Wang, Chang Gao, Famei He, Songheng He, Runshi Liu, Qianli Li, Wen Chen, Xuren Wang

Institutions: Capital Normal University, Beijing Institute of Technology, University of Pittsburgh, University of Sheffield, Century College, Beijing University of Posts and Telecommunications

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

Funder: Ministry of Education of the People's Republic of China

Award: G2563527578

OpenAlex ID: W4411552260

FWCI:

Cites: 13

Cited by:

Related to: 10