Email communication

Email communication

Email communication has now become a necessary conversation medium in our daily life. Particularly for the finance sector, communication by email represents an primary role in their businesses. So, it is necessary to classify emails based on their performance. Email phishing is one of the most serious Internet that makes various difficulties to business class essentially to the finance sector. Further, phishing emails are increasing at an alarming rate in modern years. Therefore, more efficient phishing detection method is required to control the threat of phishing emails. In this paper, we propose an intelligent system for identifying phishing emails using enhanced recurrent convolutional neural networks (ERCNN). The system performs as new functionality to an internet browser as an extension that automatically notifies the user when it detects phishing emails. The system is based on a deep learning method, mainly supervised learning. We have selected the Convolutional neural network(CNN) due to its performance in classification. Our focus is on pursuing a higher performance classifier by studying phishing emails’ features and choosing a better combination of them to train the classifier. As a result, we conclude our paper with an accuracy of 98.8% and a combination of 26 features