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Phishing Attacks Detection -- A Machine Learning-Based Approach. (arXiv:2201.10752v1 [cs.CR])
Jan. 27, 2022, 2:10 a.m. | Fatima Salahdine, Zakaria El Mrabet, Naima Kaabouch
cs.LG updates on arXiv.org arxiv.org
Phishing attacks are one of the most common social engineering attacks
targeting users emails to fraudulently steal confidential and sensitive
information. They can be used as a part of more massive attacks launched to
gain a foothold in corporate or government networks. Over the last decade, a
number of anti-phishing techniques have been proposed to detect and mitigate
these attacks. However, they are still inefficient and inaccurate. Thus, there
is a great need for efficient and accurate detection techniques to …
More from arxiv.org / cs.LG updates on arXiv.org
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