Architecture and algorithm for web phishing detection

QC 20140821
A phishing detection system, which comprises client-side filtering plug-in, analysis center and protected sites, is proposed. An image-based similarity detection algorithm is conceived to calculate the similarity of two web pages. The web pages are first converted into images, and then divided into sub-images with iterated dividing and shrinking. After that, the attributes of sub-images including color histograms, gray histograms and size parameters are computed to construct the attributed relational graph (ARG) of each page. In order to match two ARGs, the inner earth mover's distances (EMD) between every two nodes coming from each ARG respectively are first computed, and then the similarity of web pages by the outer EMD between two ARGs is worked out to detect phishing web pages. The experimental results show that the proposed architecture and algorithm has good robustness along with scalability, and can effectively detect phishing.

TEKNIK OCH TEKNOLOGIER Naturresursteknik Annan naturresursteknik hsv//swe
ENGINEERING AND TECHNOLOGY Environmental Engineering Other Environmental Engineering hsv//eng
Attributed relational graph
Image similarity
Inner EMD
Outer EMD
Phishing detection
Color histogram
Detection system
Earth mover's distance
Gray histogram
Image-based
Phishing
Plug-ins
Proposed architectures
Similarity detection
Size parameters
Subimages
Web page
Algorithms
Graphic methods
World Wide Web

Ingår i:Journal of Southeast University (English Edition)26:1, s. 43-471003-7985

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TEKNIK OCH TEKNOLOGIER: TEKNIK OCH TEKNO ...; och Naturresurstekni ...; och Annan naturresur ...

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