基于深度包检测技术的邮件过滤研究

伴随着互联网的飞速发展,垃圾邮件现象愈来愈严重,如何更高效地过滤垃圾邮件成了国内外研究学者的重点关注问题。传统的垃圾邮件过滤技术都是在客户端上实现的,将垃圾邮件过滤技术引入到具有深度包检测技术的DPI设备中,提出了基于深度包检测的实时黑名单技术与贝叶斯过滤技术相结合的综合型电子邮件过滤方式。实验结果表明,基于DPI的邮件过滤可以实现邮件的在线检测与删除功能,释放了被垃圾邮件占用的网络带宽,节省了网络资源,提高了网络有效负荷利用率。

Research on email filtration based on deep packet inspection technology

More and more spams have appeared with the rapid development of the internet. Therefore,how to filter spare more efficiently has become the focus of attention of researchers at home and abroad. Traditional spare filtering technologies are implemented on the client. In this paper, an integrated filtration technology based on the combination of Real-time Blackhole List email filtering technology and Bayesian email filtering technology is proposed and is combined with the DPI service. The experimental results show the email filtration based on Deep Packet Inspection can realize the functions of online email detection and deleting. It can release the network bandwidth occupied by spare, save the network resource and improve the utilization rate of the network effective load.