Published Paper Details:

Phishing is an internet scam in which an attacker sends out fake websites or messages that look to come from a trusted source. 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. Many researchers have spent decades creating unique approaches to automatically detect phishing websites. Machine learning-based phishing detection systems can provide a more effective and efficient way to detect phishing attacks. It also eliminates the disadvantages of the previous method. The goal of this research is to use the dataset collected to train ML models. Traditional methods of detecting phishing attacks are not always effective because attackers can quickly create new URLs or use other tactics to evade detection. The ultimate goal of phishing detection system using machine learning algorithms is to accurately and efficiently identify phishing attacks and prevent users from falling victim to them.