基于校园内网的反垃圾邮件技术的研究

随着校园网信息化的进程不断的加快,越来越多的学校搭建了自己的邮件系统,提供给教师或学生使用,系统除了SMTP会话层的反垃圾邮件措施,SurfControl邮件安全信息网关RiskFilter在应用层上,反垃圾邮件引擎ASA集成了四种反垃圾邮件技术:数字指纹、启发式分析、语义分析和Internet威胁库,由SurfControl全球众多内容安全专家,365x7x24小时不间断维护更新ASA数据库,每天自动更新4次,提供准确率高于99.2%、误判率低于0.1%的垃圾邮件过滤效果。该文通过对垃圾邮件的处理办法进行比较,结合校园邮件的特点,提出了有关实际应用的解决方案,以便更好地满足校园网的邮件系统的需求。

According to the Technical Research in Mail in Versa Garbage of the Campus Inside Net

As the process of campus network informatization speeding up continuously,An Increasing number of schools built their own mail system which is available to both teachers and students.In addition to SMTP Session Layer's anti-spam measures,SurfControl e-mail information security gateway riskFilter is on the application layer,anti-spam engine ASA integrates four anti-spam technology: Digital fingerprints,heuristic analysis,semantic analysis and the Internet threat database.Many surfControl content security experts from all over the world maintain and update ASA databases 365 x7x24 hours continually,and also it would automatically updated four times daily,providing an accurate rate of 99.2 percent or more higher and below 0.1 percent rate of misjudgment of the spam filtering effect.This paper via compared with the disposal method of spam and combined with the characteristics of the campus mails we have raised relevant solutions to practical applications so that meet the requirements of campus network mail system well.