Intelligent Detection of Phishing E-banking Website Using Fuzzy Datamining

Abstract

Recently there has been an increase in the number of phished websites. Numerous approaches are adopted by phishers to conduct a well-planned phished attack. The victims of the phishing attacks, are mainly the on-line banking consumers and the payment service providers. They have to face substantial financial loss which eventually results in lack of trust in Internetbased payment and banking services. In order to overcome these huge loses there is an urgent need to find solutions to in order to combat the attack of phishers. The detection of phished website is extremely complicated and requires outstanding expert experience and knowledge. Till now, numerous solutions have been proposed in order to address these problems. Most of the solutions developed have failed to make a dynamic decision on whether the site is phished or not, which has eventually lead to a number of false positives. In our research we developed an application of an intelligent fuzzy logic based system for e- banking phished website detection. The most important aim of our proposed system is to protect the users from deceitfulness of the phishers, and helping them to detect whether the website is safe or phished

Authors and Affiliations

Prof. Nataasha Raul, Chinmayee Vaidya, Pooja Kolhe, Khushbu Nehita

Keywords

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  • EP ID EP749198
  • DOI -
  • Views 28
  • Downloads 0

How To Cite

Prof. Nataasha Raul, Chinmayee Vaidya, Pooja Kolhe, Khushbu Nehita (2014). Intelligent Detection of Phishing E-banking Website Using Fuzzy Datamining. International Journal of Innovative Research in Computer Science and Technology, 2(3), -. https://europub.co.uk/articles/-A-749198