Detecting Phishing using Machine Learning

Nakkala Srinivas Mudiraj

Title:
Detecting Phishing using Machine Learning

Authors:
Nakkala Srinivas Mudiraj
DOI:
https://doi.org/10.31142/ijtsrd23755

Cite This Article :

Nakkala Srinivas Mudiraj "Detecting Phishing using Machine Learning" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-4, June 2019, pp.488-490, URL: https://www.ijtsrd.com/papers/ijtsrd23755.pdf

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Abstract :
Phishing is a social engineering Technique which they main aim is to target the user Information like user id, password, credit card information and so on. Which result a financial loss to the user. Detecting Phishing is the one of the challenge problem that relay to human vulnerabilities. This paper proposed the Detecting Phishing Web Sites using different Machine Learning Approaches. In this to evaluate different classification models to predict malicious and benign websites by using Machine Learning Algorithms. Experiments are performed on data set consisting malicious and benign, In This paper the results shows the proposed Algorithms has high detection accuracy.

Keywords :
Benign; Malicious; machine Learning; Phishing; Social Engineering

Publication Details:

Unique Identification Number : IJTSRD23755

Published In : Volume-3 | Issue-4, June 2019

Page Number(s) : 488-490

Publisher Name : IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470

Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

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