The E-mail Filtering System Design Based On Neural Network And Embedded System

At present, the spam filtering technology and the study of technology spammers are constantly competing with each other, e-mails facilitate people's daily lives and the work, but the emergence of spam and the virus has also brought a series of intrusive negative impact, so the popularity of spam technology requires urgent treatment. The design is based on the basis of previous studies, combining with e-mail knowledge and neural network to design a set of e-mail filtering system, and use the artificial intelligence to extract the e-mail features, this system can learn the spam's characteristics automatically and improve the accuracy of mail filtering. Finally, the e-mail filtering system will be ported to the embed system, which is portable and can communicate easily. This article tells the working principle and basic knowledge of email firstly, then combines the neural network algorithm with the e-mail filtering system, after extracting the characteristics of junk e-mail, and then train and test it.Finally, explaining the transplant process, the whole system will be completely transferred to the embedded Windows CE operating system platform, experiments can demonstrate the feasibility of the design.