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This paper presents a novel phishing detection method utilizing search engine results to classify websites as legitimate or phishing. By analyzing the number of search results and the ranking of a URL, the proposed heuristic effectively distinguishes between the two types, achieving a high true positive rate of 98% with the K-Nearest Neighbour classification algorithm. The approach is particularly effective for newly launched websites, addressing limitations of traditional blacklisting and whitelisting tech

Author

veeralakshmirajendran46

Language

EN