Email Phishing Detection System using Url Phishing Technique and Machine Learning

The damage caused by phishing attacks is heart-breaking. Hence, APWG, decade report ascertained accelerated speed of phishing attacks to 26.19% in 2023. However, the new system developed browser plugin service at real-time phishing detection to educate the internet users on the danger posed on phishing exploits. Thus, 40,000 datasets were collected from PhishStat and the data collected was splitted into train-test split of 80% training and 20% testing respectively. Also, Random Forest was adopted for the training since it's capable of detecting non-linear patterns in data and handling imbalance features. Similarly, JavaScript was used for the implementation and results obtained obtained obtained ascertained 82.20% accuracy from post-test conducted. Therefore, getting internet users pre-informed stands out to be the best strategy to curb the phishing exploits.