Detection of Phishing Websites Using Hybrid Model

Research Article

Detection of Phishing Websites Using Hybrid Model

Ch. Chakradhara Rao, A. V. Ramana

Corresponding Author : Ch. Chakradhara Rao

Department of CSE, GMR Institute of Technology, Rajam, Andhra Pradesh, India.

Email ID : chakradhararao.ch@gmrit.org

Received : 2018-05-05 Accepted : 2018-05-19 Published : 2018-05-19

Abstract : Online technologies have revolutionized the modern computing world. There are number of users who purchase products online and make payment through various websites. There are multiple websites who ask user to provide sensitive data such as username, password or credit card details etc. often for malicious reasons. This type of website is known as phishing website. The phishing website can be detected based on some important characteristics like URL (Uniform Resource Locator) and Domain identity. Several approaches have been proposed for detection of phishing websites by extracting the phishing data sets criteria to classify their legitimacy. However, there is no such approach that can provide better results to the users from phishing attacks. This paper is an attempt to contribute in that area by presenting a hybrid model for classification to detect phishing websites with high accuracy and less error rate.

Keywords : Anti-Phishing, Recall, F-Measure, Websites Detection

Citation : Ch.Chakradhara Rao et al. (2018). Detection of Phishing Websites Using Hybrid Model, J. of Advancement in Engineering and Technology, V6I3.06. DOI : 10.5281/zenodo.1250270

Copyright : © 2018 Ch.Chakradhara Rao. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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