Judging a site by its content: Learning the textual, structural, and visual features of malicious web pages

Proceedings of the ACM Conference on Computer and Communications Security

Volumn , Issue , 2011, Pages 1-9

  Bannur, Sushma Nagesh ^a   Saul, Lawrence K ^a   Savage, Stefan ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Algorithms; Experimentation; Security

Indexed keywords

CLASSIFICATION ACCURACY; ERROR RATE; EXPERIMENTATION; LABELED DATA; PHYSICAL WORLD; SECURITY; STRUCTURAL TAGS; TEXTUAL CONTENT; VISUAL APPEARANCE; VISUAL FEATURE; WEB MAIL; WEB PAGE;

ARTIFICIAL INTELLIGENCE; ELECTRONIC DATA INTERCHANGE; VISUALIZATION; WORLD WIDE WEB;

USER INTERFACES;

EID: 80955131343     PISSN: 15437221     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2046684.2046686     Document Type: Conference Paper

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