29 Nov 2014

Intelligent Phishing Website Detection System using Fuzzy Techniques

Intelligent Phishing Website Detection System using Fuzzy Techniques


Phishing websites are forged web pages that are created by malicious people to mimic web pages of real websites and it attempts to defraud people of their personal information. Detecting and identifying Phishing websites is really a complex and dynamic problem involving many factors and criteria, and because of the subjective considerations and the ambiguities involved in the detection, Fuzzy Logic model can be an effective tool in assessing and identifying phishing websites than any other traditional tool since it offers a more natural way of dealing with quality factors rather than exact values. In this paper, we present novel approach to overcome the ‘fuzziness’ in traditional website phishing risk assessment and propose an intelligent resilient and effective model for detecting phishing websites. The proposed model is based on FL operators which is used to characterize the website phishing factors and indicators as fuzzy variables and produces six measures and criteria’s of website phishing attack dimensions with a layer structure. Our experimental results showed the significance and importance of the phishing website criteria (URL & Domain Identity) represented by layer one, and the variety influence of the phishing characteristic layers on the final phishing website rate.

Existing System

Phishing is a relatively new Internet crime in comparison with other forms, e.g., virus and hacking. More and more phishing Web pages have been found in recent years in an accelerative way.The word phishing from the phrase “website phishing” is a variation on the word “fishing.” The idea is that bait is thrown out with the hopes that a user will grab it and bite into it just like the fish. In most cases, bait is either an e-mail or an instant messaging site, which will take the user to hostile phishing websites


Unwary Internet users may be easily deceived by this kind of scam. Victims of phishing Web pages may expose their bank account, password, credit card number, or other important information to the phishing Web page owners. The impact is the breach of information security through the compromise of confidential data and the victims may finally suffer losses of money or other kinds.

Proposed system
Phishing website is a very complicate and complex issue to understand and to analyze, since it is joining technical and social problem with each other for which there is no known single silver bullet to solve it entirely. The motivation behind my study is to create a resilient and effective method that uses fuzzy logic to quantify and qualify all the website phishing characteristics and factors in order to detect phishing websites to assess whether phishing activity is taking place or not.

Advantages of Proposed System:
The advantage of the fuzzy approach is that it enables processing of vaguely defined variables, and variables whose relationships cannot be defined by mathematical relationships. Fuzzy logic can incorporate expert human  judgment to define those variable and their relationships.



Hardware Requirements

        Processor           :       Pentium III / IV
        Hard Disk           :       40 GB
        Ram                  :       256 MB
Monitor              :       15VGA Color
        Mouse               :       Ball / Optical
        Keyboard           :       102 Keys

Software Requirements
Operating System:      Windows XP professional
Front End           :       Microsoft Visual Studio .Net 2005
Language           :       Visual Basic.Net-2005

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