Architecture and algorithm for web phishing detection

• 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.

Subject headings

TEKNIK OCH TEKNOLOGIER  -- Naturresursteknik -- Annan naturresursteknik (hsv//swe)

ENGINEERING AND TECHNOLOGY  -- Environmental Engineering -- Other Environmental Engineering (hsv//eng)

Keyword

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

Publication and Content Type

ref (subject category)

art (subject category)