Performing Efficient Phishing Webpage Detection

Authors

  • Kaur S CSE Department, BBSBEC, India
  • Sharma S CSE Department, BBSBEC, India

Keywords:

Phishing, SVM, Gaussian, Fuzzy Logic, Feature collection

Abstract

Along with deployment of internet, saving financial and sensitive information becomes more inconvenient. One of the problems faced today is growing number of phishing websites. Phishing websites are fake webpage shaped and used by phishers to copy the web pages of legitimate websites which results in lack of faith in internet based services and causes financial loss to the internet users. So it has become crucial to search for useful solution applicable for such phishing websites. Therefore, establishing useful solution for mitigating phishing websites is essential to reduce the incident of being victimized by phishing attack. This research paper employs approach that uses fuzzy logic with classifiers like SVM, NMC and Gaussian. Fuzzy based detection system provides effective aid in detecting phishing websites. It successfully resulted in low false positive and high true positive for classifying phishing websites.

References

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Published

2025-11-10

How to Cite

[1]
S. Kaur and S. Sharma, “Performing Efficient Phishing Webpage Detection”, Int. J. Comp. Sci. Eng., vol. 3, no. 7, pp. 52–56, Nov. 2025.

Issue

Vol. 3 No. 7 (2015): IJCSE July Edition

Section

Research Article

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