Detecting Phishing Using Machine Learning IJTSRD


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.

by 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,

URL: https://www.ijtsrd.com/papers/ijtsrd23755.pdf

Paper URL: https://www.ijtsrd.com/computer-science/computer-security/23755/detecting-phishing-using-machine-learning/nakkala-srinivas-mudiraj

call for paper Computer Hardware, international journal Simulation, science journal




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