Phishing Detection Leveraging Machine Learning and Deep Learning: A Review
classification
💻 cs.CR
keywords
learningattacksphishingdatadeepleveragingmachinemodels
read the original abstract
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.
This paper has not been read by Pith yet.
discussion (0)
Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.