Phishing Detection Leveraging Machine Learning and Deep Learning: A Review

Metadane

• Autorzy: D.M. Divakaran, A. Oest
• Rok: 2022
• Źródło: IEEE Security & Privacy, Volume 20, Issue 5, Pages 86–95
• DOI/Link: 10.1109/MSEC.2022.3175225
• Status: to-read
• Pochodzenie: Wyekstrahowane z al-subaiey-web-ai-phishing-2024 ([19] - ML/DL review highlighting recall importance)
• Tagi: to-read reference phishing-detection machine-learning deep-learning review-paper ieee

Notatki

Publikacja dodana automatycznie z bibliografii.

Kontekst cytowania w Al-Subaiey 2024:

• Referenced jako [19] w paper
• Concise overview of both ML and deep learning strategies
• Highlighted critical role of high recall scores for practical implementations
• Informed evaluation metrics choice (precision, recall, F1)
• Emphasized practical deployment considerations

Significance:

• IEEE Security & Privacy - highly respected venue
• Recent (2022) - covers modern ML/DL approaches
• Focus on practical implementation (not just accuracy)

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