Review Process on URL Phishing

Authors

  • Vivek Sharma S  Assistant Professor, Computer Science and Engineering, Nagarjuna College of Engineering and Technology, Bangalore, Karnataka, India
  • Hemalatha R  B.E Student, Information Science and Engineering, Nagarjuna College of Engineering and Technology, Bangalore, Karnataka, India
  • Kavyashree Y B  B.E Student, Information Science and Engineering, Nagarjuna College of Engineering and Technology, Bangalore, Karnataka, India

DOI:

https://doi.org/10.32628/IJSRST218344

Keywords:

Extreme Learning Machine, Features Classification, Reporting Phishing

Abstract

Phishing is that the most typical and most dangerous attack among cybercrimes. The aim of these attacks is to steal the data that’s utilized by people and organizations to perform transactions or any vital info. The goal of this is often to perform an Extreme Learning Machine (ELM) primarily based upon the classification of options together with Phishing Websites information among the UC Irvine Machine Learning Repository information. For results assessment, ELM was compared with different machine learning (SVM), Naive Thomas Bayes (NB) strategies and detected to possess the best possible accuracy.

References

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International Journal of Scientific Research in Science and Technology

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Published

2021-06-30

Issue

Volume 8, Issue 3, May-June-2021

Section

Research Articles

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Copyright (c) IJSRST

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Vivek Sharma S, Hemalatha R, Kavyashree Y B "Review Process on URL Phishing" International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011,Volume 8, Issue 3, pp.241-244, May-June-2021. Available at doi : https://doi.org/10.32628/IJSRST218344