Type of Document	Thesis
Author	Wolff, Marcus
Author's Email Address	wolff@cs.fsu.edu
URN	etd-04132009-235659
Title	Detection Framework for Phishing Websites
Degree	Master of Science
Department	Computer Science, Department of
Advisory Committee	Advisor Name Title Sudhir Aggarwal Committee Chair Zhenghao Zhang Committee Member Zhenhai Duan Committee Member
Keywords	Wolff Heuristics Phishing Antiphishing Security It-Security Internet Computer Science
Date of Defense	2009-04-07
Availability	unrestricted
Abstract This paper discusses a combined and platform-independent solution to detect websites that fake their identity. The approach combines white-listing, black-listing and heuristic strategies to provide an optimal phishing detection ratio against these so-called phishing websites while at the same time making sure that the number of wrongly classified legitimate websites remains as low as possible. For the implementation, a prototype solution was written in platform-independent Java. Practical challenges during the implementation as well as first practical results will be discussed.
Files	Filename       Size       Approximate Download Time (Hours:Minutes:Seconds)     28.8 Modem   56K Modem   ISDN (64 Kb)   ISDN (128 Kb)   Higher-speed Access    WolffMThesis.pdf 2.24 Mb 00:10:21 00:05:19 00:04:39 00:02:19 00:00:11