Syntactic clustering of the Web
Selected papers from the sixth international conference on World Wide Web
A vector space model for automatic indexing
Communications of the ACM
Collection statistics for fast duplicate document detection
ACM Transactions on Information Systems (TOIS)
Methods for identifying versioned and plagiarized documents
Journal of the American Society for Information Science and Technology
An Antiphishing Strategy Based on Visual Similarity Assessment
IEEE Internet Computing
Detecting Phishing Web Pages with Visual Similarity Assessment Based on Earth Mover's Distance (EMD)
IEEE Transactions on Dependable and Secure Computing
Intelligent phishing detection system for e-banking using fuzzy data mining
Expert Systems with Applications: An International Journal
Evaluating a semisupervised approach to phishing url identification in a realistic scenario
Proceedings of the 8th Annual Collaboration, Electronic messaging, Anti-Abuse and Spam Conference
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An approach to detection of phishing webpages based on visual similarity is proposed, which can be utilized as a part of an enterprise solution to anti-phishing. A legitimate webpage owner can use this approach to search the Web for suspicious webpages which are visually similar to the true webpage. The approach first decomposes the webpages into salient (visually distinguishable) block regions. The visual similarity between two webpages is then evaluated in three metrics: block level similarity, layout similarity, and overall style similarity. A webpage is reported as a phishing suspect if any of them (with regards to the true one) is higher than its corresponding preset threshold. Preliminary experiments show that the approach can successfully detect those phishing webpages with few false alarms at a speed adequate for online application.