mlsanityData to 7 Oct 2026

Phishing Detection Leveraging Machine Learning and Deep Learning: A Review

arXiv 2205.07411 ↗First posted 16 May 2022cs.CRcited by 3

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Abstract (arXiv)

Phishing attacks trick victims into disclosing sensitive information. To counter rapidly evolving attacks, we must explore machine learning and deep learning models leveraging large-scale data. We discuss models built on different kinds of data, along with their advantages and disadvantages, and present multiple deployment options to detect phishing attacks.

Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). First posted on arXiv 16 May 2022.

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Citing papers per year: 2024: 3.

3 papers.