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EMAD: Email Masquerade Attack Detection Based on Semi-Supervised Learning

Year: 2025

Type: conference-paper

Source: International Conference on Communications

DOI: 10.1109/icc52391.2025.11162124

Authors: C. Li, C. K. Yeo, J. Jing, G. Du, C. Long, J. Zhao, Y. Gao, Y. Wang, L. Gong

Institutions: Chinese Academy of Sciences, Computer Network Information Center, Nanyang Technological University, University of Chinese Academy of Sciences

Language: English

Topic: Spam and Phishing Detection

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W4414538702

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