The Analysis of E-mail Communication Security Based on Naïve Bayes

Abstract

In the rapid development of information age, email is still an important tool of Internet information communication. It is significant to determine the behavioral relationship of communication on both sides quickly and accurately. By means of applying steganalysis and malware analysis technology, this paper analyzes the content of email and attachments, conducts feature extraction; establishes a behavior model based on naive Bayesian theory, and then proposes communication security behavior analysis method. The experimental results show that this method has an 83% rate of accuracy on communication behavioral relationship recognition.