Simulation of the Users´ Email Behavior Based on BP-BDI Model

With the development of the Internet, email has become a part of our life to communicate with each other. While bringing convenience for users, it also threats the users´ network security. For example, if the user clicks on a malicious URL link in the email, the user´s host is likely to be injected by virus, resulting in subsequent network security problems. We call the Internet users´ operations on email "users´ email behaviors". Through simulating the user´s behavior on email, we can find the hidden dangers and threats of network security caused by user´s operation on email. In this paper, BP-BDI model is proposed to simulate the user´s behavior on email. The behavior learning module with BP neural network is constructed on the basis of BDI (Belief Desire Intention) model to learn the user´s past behavior of email. As a result, the accuracy of simulating the user´s email behavior will be improved. Finally, the experiment proves that the BP-BDI model can simulate the user´s email behavior accurately and effectively.