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Phishing is a common online weapon, used against users, by Phishers foracquiring a confidential information through deception. Since the inception ofinternet, nearly everything, ranging from money transaction to sharinginformation, is done online in most parts of the world. This has also givenrise to malicious activities such as Phishing. Detecting Phishing is anintricate process due to complexity, ambiguity and copious amount ofpossibilities of factors responsible for phishing . Rough sets can be apowerful tool, when working on such kind of Applications containing vague orimprecise data. This paper proposes an approach towards Phishing DetectionUsing Rough Set Theory. The Thirteen basic factors, directly responsibletowards Phishing, are grouped into four Strata. Reliability Factor isdetermined on the basis of the outcome of these strata, using Rough Set Theory. Reliability Factor determines the possibility of a suspected site to be Validor Fake. Using Rough set Theory most and the least influential factors towardsPhishing are also determined.

Phishing Detection by determining reliability factor using rough set theory