Detecting fake escrow websites using rich fraud cues and kernel based methods

Ahmed Abbasi, Hsinchun Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

The ability to automatically detect fraudulent escrow websites is important in order to alleviate online auction fraud. Despite research on related topics, fake escrow website categorization has received little attention. In this study we evaluated the effectiveness of various features and techniques for detecting fake escrow websites. Our analysis included a rich set of features extracted from web page text, image, and link information. We also proposed a composite kernel tailored to represent the properties of fake websites, including content duplication and structural attributes. Experiments were conducted to assess the proposed features, techniques, and kernels on a test bed encompassing nearly 90,000 web pages derived from 410 legitimate and fake escrow sites. The combination of an extended feature set and the composite kernel attained over 98% accuracy when differentiating fake sites from real ones, using the support vector machines algorithm. The results suggest that automated web-based information systems for detecting fake escrow sites could be feasible and may be utilized as authentication mechanisms.

Original languageEnglish (US)
Title of host publicationWITS 2007 - Proceedings, 17th Annual Workshop on Information Technologies and Systems
PublisherSocial Science Research Network
Pages55-60
Number of pages6
StatePublished - 2007
Event17th Workshop on Information Technologies and Systems, WITS 2007 - Montreal, QC, Canada
Duration: Dec 8 2007Dec 9 2007

Other

Other17th Workshop on Information Technologies and Systems, WITS 2007
CountryCanada
CityMontreal, QC
Period12/8/0712/9/07

Fingerprint

Websites
Composite materials
Authentication
Support vector machines
Information systems
Experiments

Keywords

  • Internet fraud
  • Kernel-based methods
  • Online escrow services
  • Website classification

ASJC Scopus subject areas

  • Information Systems

Cite this

Abbasi, A., & Chen, H. (2007). Detecting fake escrow websites using rich fraud cues and kernel based methods. In WITS 2007 - Proceedings, 17th Annual Workshop on Information Technologies and Systems (pp. 55-60). Social Science Research Network.

Detecting fake escrow websites using rich fraud cues and kernel based methods. / Abbasi, Ahmed; Chen, Hsinchun.

WITS 2007 - Proceedings, 17th Annual Workshop on Information Technologies and Systems. Social Science Research Network, 2007. p. 55-60.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abbasi, A & Chen, H 2007, Detecting fake escrow websites using rich fraud cues and kernel based methods. in WITS 2007 - Proceedings, 17th Annual Workshop on Information Technologies and Systems. Social Science Research Network, pp. 55-60, 17th Workshop on Information Technologies and Systems, WITS 2007, Montreal, QC, Canada, 12/8/07.
Abbasi A, Chen H. Detecting fake escrow websites using rich fraud cues and kernel based methods. In WITS 2007 - Proceedings, 17th Annual Workshop on Information Technologies and Systems. Social Science Research Network. 2007. p. 55-60
Abbasi, Ahmed ; Chen, Hsinchun. / Detecting fake escrow websites using rich fraud cues and kernel based methods. WITS 2007 - Proceedings, 17th Annual Workshop on Information Technologies and Systems. Social Science Research Network, 2007. pp. 55-60
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