Prevention of Phishing Attacks Based on Discriminative Key Point Features of WebPages

Phishing is the combination of social engineering and technical exploits designed to convince avictim to provide personal information, usually for the monetary gain of the attacker (Phisher).Attempts to stop phishing by preventing a user from interacting with a malicious web site haveshown to be ineffective. In this paper, present an effective image-based anti-phishing schemebased on discriminative key point features in WebPages. We use an invariant content descriptor,the Contrast Context Histogram (CCH), to compute the similarity degree between suspiciouspages and authentic pages. To determine whether two images are similar, a common approachinvolves extracting a vector of salient features from each image, and computing the distancebetween the vectors, which is taken as the degree of visual difference between the two images.The results show that the proposed scheme achieves high accuracy and low error rates.