DEDUCTION OF PHISHING WEBSITES USING MACHINE LEARNING

Abstract

Phishing attack is a simplest way to obtain sensitive information from
innocent users. Aim of the phishers is to acquire critical information like username,
password and bank account details. Cyber security persons are now looking for
trustworthy and steady detection techniques for phishing websites detection. This
paper deals with machine learning technology for detection of phishing URLs by
extracting and analyzing various features of legitimate and phishing URLs.
Decision Tree, random forest and Support vector machine algorithms are used to
detect phishing websites. Aim of the paper is to detect phishing URLs as well as
using light gbm and svm algorithm.