An Efficient Approaches for Website Phishing Detection using Supervised Machine Learning Technique
| Author(s) | : | Riddhi J. Kotak, Sagar H. Virani |
| Institution | : | Research Scholar, Master in Computer Engineering (M.E.-C.E.),V.V.P. Engineering College, Rajkot-360001 |
| Published In | : | Vol. 2, Issue 5 — May 2015 |
| Page No. | : | 737-744 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
Internet has become a useful component of our regular social and financial activities. Internet users may getharm due to different types of web threats which may cause loss of private information, financial damage , damagebrand reputation due to which it loses customers confidence in E-commerce and online Transaction. Phishing is a formof web threats that is defined as the art of mimicking a website to illegally acquire and use someone else’s data on behalfof legitimate website for own benefit (e.g. Steal of user’s password and credit card details during online communication).So far, there is no single solution that can capture every phishing attack.This paper employs Machine-learning techniquefor modelling the prediction task and supervised learning algorithms namely Multi-layer perceptron, Decision treeinduction and Naïve Bayes classification are used for exploring the results.
Riddhi J. Kotak, Sagar H. Virani, “An Efficient Approaches for Website Phishing Detection using Supervised Machine Learning Technique”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 2, Issue 5, pp. 737-744, May 2015.
