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Phishing Attack Detection using Logistic Regression and Novel Random Forest Algorithm to improve Accuracy

Year: 2024

Type: conference-paper

Source: IEEE International Conference on Engineering Technologies and Applied Sciences (ICETAS)

DOI: 10.1109/icetas62372.2024.11119910

Language: English

Topic: Spam and Phishing Detection

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W4413557131

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