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Identification and Classification of Phishing Websites Using Machine Learning – Random Forest

Ibinaiye, David Damilola (2019) Identification and Classification of Phishing Websites Using Machine Learning – Random Forest. Masters thesis, Dublin, National College of Ireland.

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Abstract

Majority of our day to day activities involves sending and receiving information via the Internet. Although the major threat to the acceptability and public embrace of the Internet is the perceived increase the rate of Cybercrimes, the ease of transaction online has encouraged many people to embrace the Internet as a reliable platform. Financial Institutions, Educational Institutions, Medical Services etc. all have platforms where users can visit whenever the need for their service arise. As such, sensitive data are used as means of validation of each user of the Internet. A good example is Internet banking which requires user supplying information such as username, PIN, Password, token etc. One major way in which User sensitive and personal data are being compromised is Phishing. Phishing has really cost some unsuspecting Internet users a lot of their fortune. The term phishing refers to the process whereby Internet fraudsters present a look-alike website just to deceive Internet users into releasing their sensitive data. While some other research papers have sort to use other Techniques and Algorithm, the focus of this research work is to make use of Random Forest Algorithm to Identify and Classify Phishing Websites.

Item Type: Thesis (Masters)
Subjects: Q Science > QA Mathematics > Electronic computers. Computer science
T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science

Q Science > QA Mathematics > Computer software
T Technology > T Technology (General) > Information Technology > Computer software

Q Science > QA Mathematics > Computer software > Computer Security
T Technology > T Technology (General) > Information Technology > Computer software > Computer Security
Divisions: School of Computing > Master of Science in Cyber Security
Depositing User: CAOIMHE NI MHAICIN
Date Deposited: 02 Apr 2020 11:27
Last Modified: 02 Apr 2020 11:27
URI: http://norma.ncirl.ie/id/eprint/4159

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