Enhancing Predictive Analytics for Anti-Phishing by Exploiting Website Genre Information Article

Abbasi, Ahmed, Zahedi, Fatemeh Mariam, Zeng, Daniel et al. (2015). Enhancing Predictive Analytics for Anti-Phishing by Exploiting Website Genre Information . JOURNAL OF MANAGEMENT INFORMATION SYSTEMS, 31(4), 109-157. 10.1080/07421222.2014.1001260

International Collaboration

cited authors

  • Abbasi, Ahmed; Zahedi, Fatemeh Mariam; Zeng, Daniel; Chen, Yan; Chen, Hsinchun; Nunamaker, Jay F

authors

publication date

  • March 1, 2015

webpage

published in

keywords

  • Business & Economics
  • CLASSIFICATION
  • CREDIBILITY
  • Computer Science
  • Computer Science, Information Systems
  • DESIGN
  • FRAUD
  • Information Science & Library Science
  • Internet fraud
  • KNOWLEDGE
  • Management
  • SCIENCE
  • Science & Technology
  • Social Sciences
  • TRUST
  • Technology
  • credibility assessment
  • data mining
  • design science
  • genre theory
  • phishing
  • phishing websites
  • website genres

Digital Object Identifier (DOI)

publisher

  • ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD

start page

  • 109

end page

  • 157

volume

  • 31

issue

  • 4