"Kn0w Thy Doma1n Name": Unbiased Phishing Detection Using Domain Name Based Features
SACMAT '18: The 23rd ACM Symposium on Access Control Models and Technologies Indianapolis Indiana USA June, 2018, pp. 69-75, 2018.
Phishing websites remain a persistent security threat. Thus far, machine learning approaches appear to have the best potential as defenses. But, there are two main concerns with existing machine learning approaches for phishing detection. The first is the large number of training features used and the lack of validating arguments for thes...More
Full Text (Upload PDF)
PPT (Upload PPT)