A Framework for Detecting Phishing Websites using EDA algorithm and URL based Website Classification

In the modern era of information technology being connected on a social media platform and mail services have been an abundant process in the life of human being; along with the virtues of instant connectivity and exchange of information via an internet platform, some common social engineering attacks are been carried out by the evil-minded people namely called as hackers. Web attacks are the major part of cybercrime in which criminal uses internet services or URLs of related or similar identity as a mediator for resembling the legitimate website with a motive to steal some personal information about user entity that is not been publicly available and use them this information for personal benefit to gain access to the social media accounts or to access the bank account for laundering the money or to gain profit in any term. This website could be extremely dangerous for both the user end and the service provider. Thus, to detain the user from getting fraud and detect various phishing websites a proper proactive data analysis is abundant so that by using the analyzed data, the internet services can be more secure and reliable to transact with.