Phishing Detection using Decision Tree Model

Abstract

In the modern days the security is the main concern in this rapidly evolving world with the technology advancement. There are many of the cases which led to huge number of financial losses by common social attacks. These attacks are the one that made technically or to the targeted device. It's in the form of the virus or Trojan or it may be in the form of a normal website link which we also called as the URL (Uniform Resource Locator).These URLs contains the software or the malicious program which takes out the users all the valuable and more secured and private information (or sensitive data) when this URL is entered by the user in his remote machine. This form of attack is known as Phishing. Normally the user will see the web page appearing as a simple and interactive but in behind it is more and more dangerous one. A fraudulent try made by the attacker in order to steal the users data all the private information like we have username, password, and private details like users financial bank account and details of the users credit card. To avoid these attacks there are many advancements in artificial intelligence and machine learning, which have efficient and more compact techniques to find out the fake URLs. A machine learning model made up of decision tree algorithm is developed which will scan and filtes out the common words and learns the specific features and then it will provide the appropriate result.