Phishing Attacks Detection System Using Machine Learning

Abstract: With the digital revolution around the world more and more number of users are now connecting to the internet, using digital platforms and preferring online or digital banking instead of using cash while making payments. But rise of online transaction have also given opportunity to hackers and fraudsters to fool people and harm them financially. Phishing attacks are type of cyber-crime in which scammers usually send malicious and spam emails, messages and SMS. Some people fall prey to these messages and they contact on the number mentioned or click on the link given in message by this way scammers loot them. The proposed Phishing Attacks Detection System uses Machine Learning Algorithms to identify malicious messages and alert the user. Proposed system uses Naive Bayes algorithm for classification of input data. This will reduce the chances of possible Phishing Attack, identity theft and user will be safe from the financial loss.

Keywords: Phishing Attacks, SMS, E-mail, Machine Learning, Naïve Bayes