Title :
PhishCatch - A Phishing Detection Tool
Author :
Yu, Weider D. ; Nargundkar, Shruti ; Tiruthani, Nagapriya
Author_Institution :
Comput. Eng. Dept., San Jose State Univ., San Jose, CA, USA
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.
Keywords :
computer crime; information filters; software tools; unsolicited e-mail; heuristic based algorithm; phishcatch algorithm; phishing detection tool; phishing email detection; phishing filter; Application software; Computer applications; Computer crime; Credit cards; Filters; Heuristic algorithms; Silicon; Software tools; Testing; USA Councils; Network security; PhishCatch; e-mail attacks; hyperlink; phishing attacks;
Conference_Titel :
Computer Software and Applications Conference, 2009. COMPSAC '09. 33rd Annual IEEE International
Conference_Location :
Seattle, WA
Print_ISBN :
978-0-7695-3726-9
DOI :
10.1109/COMPSAC.2009.175