Geodesic
Algorithm of Web Page Similarity Comparison Based on Visual Block
Computer Science and Information Systems, Tome 16 (2019) no. 3.

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Phishing often deceives users due to the relative similarity to the true pages on a layout and leads to considerable losses for the society. Consequently, detecting phishing sites has been an urgent activity. By researching phishing web pages using web page screenshots, we discover that this kind of web pages use numerous web page screenshots to achieve the close similarity to the true page and avoid the text and structure similarity detection. This study introduces a new similarity matching algorithm based on visual blocks. First, the RenderLayer tree of the web page is obtained to extract the visual block. Second, an algorithm that will settle the jumbled visual blocks, including the deletion of the small visual blocks and the emergence of the overlapping visual blocks, is designed. Finally, the similarity between the two web pages is assessed. The proposed algorithm sets different thresholds to achieve the optimal missing and false alarm rates.
Keywords: phishing, similarity comparison, visual block, web rendering 
@article{CSIS_2019_16_3_a7,
     author = {Xingchen Li and Weizhe Zhang and Desheng Wang and Bin Zhang and Hui He},
     title = {Algorithm of {Web} {Page} {Similarity} {Comparison} {Based} on {Visual} {Block}},
     journal = {Computer Science and Information Systems},
     publisher = {mathdoc},
     volume = {16},
     number = {3},
     year = {2019},
     url = {http://geodesic.mathdoc.fr/item/CSIS_2019_16_3_a7/}
}
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%I mathdoc
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Xingchen Li; Weizhe Zhang; Desheng Wang; Bin Zhang; Hui He. Algorithm of Web Page Similarity Comparison Based on Visual Block. Computer Science and Information Systems, Tome 16 (2019) no. 3. http://geodesic.mathdoc.fr/item/CSIS_2019_16_3_a7/