Entry Chen:2014:APS from tissec.bib

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BibTeX entry

@Article{Chen:2014:APS,
  author =       "Teh-Chung Chen and Torin Stepan and Scott Dick and
                 James Miller",
  title =        "An Anti-Phishing System Employing Diffused
                 Information",
  journal =      j-TISSEC,
  volume =       "16",
  number =       "4",
  pages =        "16:1--16:??",
  month =        apr,
  year =         "2014",
  CODEN =        "ATISBQ",
  DOI =          "https://doi.org/10.1145/2584680",
  ISSN =         "1094-9224 (print), 1557-7406 (electronic)",
  ISSN-L =       "1094-9224",
  bibdate =      "Mon May 5 18:00:10 MDT 2014",
  bibsource =    "http://portal.acm.org/;
                 http://www.math.utah.edu/pub/tex/bib/tissec.bib",
  abstract =     "The phishing scam and its variants are estimated to
                 cost victims billions of dollars per year. Researchers
                 have responded with a number of anti-phishing systems,
                 based either on blacklists or on heuristics. The former
                 cannot cope with the churn of phishing sites, while the
                 latter usually employ decision rules that are not
                 congruent to human perception. We propose a novel
                 heuristic anti-phishing system that explicitly employs
                 gestalt and decision theory concepts to model
                 perceptual similarity. Our system is evaluated on three
                 corpora contrasting legitimate Web sites with
                 real-world phishing scams. The proposed system's
                 performance was equal or superior to current
                 best-of-breed systems. We further analyze current
                 anti-phishing warnings from the perspective of warning
                 theory, and propose a new warning design employing our
                 Gestalt approach.",
  acknowledgement = ack-nhfb,
  articleno =    "16",
  fjournal =     "ACM Transactions on Information and System Security",
  journal-URL =  "http://portal.acm.org/browse_dl.cfm?idx=J789",
}

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