Team for Research in
Ubiquitous Secure Technology

Citation
Weider D. Yu, Shruti Nargundkar, Nagapriya Tiruthani. "PhishCatch - A Phishing Detection Tool". The 33rd 2009 IEEE International Computer Software and Applications Conference, IEEE Computer Society, 491-496, 22, September, 2009.

Abstract
Phishing has become the most popular practice among the criminals of the Web. Phishing attacks are becoming more frequent and sophisticated. The impact of phishing is drastic and significant since it can involve the risk of identity theft and financial losses. This paper explains the most popular methods used for phishing and the PhishCatch algorithm developed to detect phishing. The PhishCatch algorithm is a heuristic based algorithm which will detect phishing emails and alert the users about the phishing emails. The phishing filters and rules in the algorithm are formulated after extensive research of phishing methodologies and tactics. After testing, we determined that PhishCatch algorithm has a catch rate of 80% and an accuracy of 99%. The approach used in developing this algorithm, the implementation details and testing results are discussed in this paper.

Electronic downloads

• HTML

  Weider D. Yu, Shruti Nargundkar, Nagapriya  Tiruthani. <a
  href="http://www.truststc.org/pubs/696.html"
  >PhishCatch - A Phishing Detection Tool</a>, The
  33rd 2009 IEEE International Computer Software and
  Applications Conference, IEEE Computer Society, 491-496, 22,
  September, 2009.

• Plain text

  Weider D. Yu, Shruti Nargundkar, Nagapriya  Tiruthani.
  "PhishCatch - A Phishing Detection Tool". The 33rd
  2009 IEEE International Computer Software and Applications
  Conference, IEEE Computer Society, 491-496, 22, September,
  2009.

• BibTeX

  @inproceedings{YuNargundkarTiruthani09_PhishCatchPhishingDetectionTool,
      author = {Weider D. Yu and Shruti Nargundkar and Nagapriya 
                Tiruthani},
      title = {PhishCatch - A Phishing Detection Tool},
      booktitle = {The 33rd 2009 IEEE International Computer Software
                and Applications Conference},
      organization = {IEEE Computer Society},
      pages = {491-496},
      day = {22},
      month = {September},
      year = {2009},
      abstract = {Phishing has become the most popular practice
                among the criminals of the Web. Phishing attacks
                are becoming more frequent and sophisticated. The
                impact of phishing is drastic and significant
                since it can involve the risk of identity theft
                and financial losses. This paper explains the most
                popular methods used for phishing and the
                PhishCatch algorithm developed to detect phishing.
                The PhishCatch algorithm is a heuristic based
                algorithm which will detect phishing emails and
                alert the users about the phishing emails. The
                phishing filters and rules in the algorithm are
                formulated after extensive research of phishing
                methodologies and tactics. After testing, we
                determined that PhishCatch algorithm has a catch
                rate of 80% and an accuracy of 99%. The approach
                used in developing this algorithm, the
                implementation details and testing results are
                discussed in this paper. },
      URL = {http://www.truststc.org/pubs/696.html}
  }
  

Posted by Weider D. Yu on 2 Apr 2010.
For additional information, see the Publications FAQ or contact webmaster at www truststc org.