Phishing Detection Using Machine Learning Technique

49Citations
Citations of this article
313Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Today, everyone is highly dependent on the internet. Everyone performed online shopping and online activities such as online Bank, online booking, online recharge and more on internet. Phishing is a type of website threat and phishing is Illegally on the original website Information such as login id, password and information of credit card. This paper proposed an efficient machine learning based phishing detection technique. Overall, experimental results show that the proposed technique, when integrated with the Support vector machine classifier, has the best performance of accurately distinguishing 95.66% of phishing and appropriate websites using only 22.5% of the innovative functionality. The proposed technique exhibits optimistic results when benchmarking with a range of standard phishing datasets of the 'University of California Irvine (UCI)' archive. Therefore, proposed technique is preferred and used for phishing detection based on machine learning.

Cite

CITATION STYLE

APA

Rashid, J., Mahmood, T., Nisar, M. W., & Nazir, T. (2020). Phishing Detection Using Machine Learning Technique. In Proceedings - 2020 1st International Conference of Smart Systems and Emerging Technologies, SMART-TECH 2020 (pp. 43–46). Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/SMART-TECH49988.2020.00026

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free