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

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Provided by: International Journal of Computer Science and Security (IJCSS)
Topic: Security
Format: PDF
Phishing is the combination of social engineering and technical exploits designed to convince a victim 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 have shown to be ineffective. In this paper, the authors present an effective image-based anti-phishing scheme based on discriminative key point features in web pages. They use an invariant content descriptor, the Contrast Context Histogram (CCH), to compute the similarity degree between suspicious pages and authentic pages.
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