Analytics of Phishing Attacks Using Machine Learning

Abstract

Cyber-attacks which is known as Computer Network Attack (CAN). It is a threat created by cybercriminals by more than one computer against networks. There are various types of cyberattacks among them Phishing Attack is one of them. Phishing is a technique of gathering sensitive information of a target such as username, password, bank details etc. There are various ways to perform phishing attacks, among them URL PHISHING attack is one way to gather user’s information. Mainly hackers create a fake website regarding bank details, shopping websites, etc. using social engineering tool which looks like legitimate website. This fake URL will be sent to user via email or through some other resources. In this paper, we will be performing data analysis, data pre-processing, data exploring, training and predicting through machine learning and optimization techniques on dataset which contains two attributes (URL, Label). We will be introducing performance metrics like confusion matrix accuracy, precision, recall and F1 score to know the performance of the model. An optimization technique which is Stochastic gradient descent performed better than logistic regression.