Paper Title
Machine Learning Technology to Detect Phishing Websites

Phishing attack is an easiest way to perform fraudulent activities for cybercriminals. Fraudulent activities includes extortion, credentials stealing, redirect to malicious website or downloading malware on victim's system. Cyber security specialist now looking for reliable detection techniques for phishing websites detection. This paper deals with machine learning technology to detect phishing websites by analyzing various features of legitimate and phishing URLs by Machine learning techniques. Three machine learning algorithms which are Decision Tree, random forest and Support vector machine used to detect phishing websites. This paper aims to detect phishing websites as well as narrow down to best machine learning algorithm by comparing accuracy rate, false positive and false negative rate of each algorithm. Keywords - Phishing attack, Machine learning