摘要
电子邮件是互联网时代普遍使用的通信方式,垃圾邮件的负面影响及安全隐患日趋严重,精确可行的反垃圾技术成为当前电子邮件领域研究的热点与难点。通过对邮件系统海量日志进行用户行为分析,综合考虑垃圾邮件的各种主要特性生成发件人信誉值,分析邮件用户行为,并生成信誉值作为垃圾邮件判断的标准。这种新型反垃圾邮件技术可以有效地避免对垃圾邮件的误判,提高垃圾邮件的过滤精准性。
Email is the commonly-used method of communications in the era of Internet. The negative infl uence and security risk of spam is becoming increasingly severe. Therefore, correct and feasible anti-spam technology is becoming the hotspot and difficulty of research in the field of Email at present. Users＇ behaviors of huge amounts of logs in mail system were analyzed and the credit value of mail senders was generated according to characteristics of spam. User behavior of mail sender was analyzed and the credit value was generated as the standard to judge spam. The novel anti-spam technology can effectively avoid the misjudgment of spam and improve the accuracy of spam filtering.
出处
《移动通信》
2015年第24期62-66,共5页
Mobile Communications
关键词
用户行为分析
信誉值
反垃圾技术
user behavior analysis
credit value
anti-spam technology
