| 基于多级属性集的垃圾邮件过滤技术 |
| |
| 引用本文： | 刘震,佘堃,周明天.基于多级属性集的垃圾邮件过滤技术[J].计算机应用研究,2005,22(7):122-123. |
| |
| 作者姓名： | 刘震 佘堃 周明天 |
| |
| 作者单位： | 电子科技大学,计算机学院,卫士通安全联合实验室,四川,成都,610054 |
| |
| 基金项目： | 国家“863”计划资助项目（863-104-03-01） |
| |
| 摘 要： | 针对目前常用的垃圾邮件过滤技术普遍存在误报和漏报与分类过滤效率之间的矛盾问题，提出了一种改进的垃圾邮件过滤算法。在对这种新算法进行仿真测试后发现，新算法不仅有效地降低了漏报率和误报率，同时也减少了分类时间，为改进现有垃圾邮件过滤系统提供了一条新的解决方法和途径。
|
| 关 键 词： | 垃圾邮件 贝叶斯 邮件过滤 多级属性集 |
| 文章编号： | 1001-3695(2005)07-0122-02 |
Advanced Filtering Technology for Spam E-mail Based on Multilevel Attributes Set |
| |
| LIU Zhen,SHE Kun,ZHOU Ming-tian.Advanced Filtering Technology for Spam E-mail Based on Multilevel Attributes Set[J].Application Research of Computers,2005,22(7):122-123. |
| |
| Authors: | LIU Zhen SHE Kun ZHOU Ming-tian |
| |
| Abstract: | Presently, the paradox between the efficiency of classification and missing report and wrong report exist universally in filtering technology for spam E-mail. Aimed at this, an advanced algorithm is brought forward carefully in this paper. After some simulation tests, it found that new algorithm not only had cut down the missing report rate and wrong report rate, but improved the classification efficiency as well. That the new algorithm provides a new settlement for the severe problem of junk E-mail. |
| |
| Keywords: | Spam E-mail Bayesian E-mail Filter Multilevel Attributes Set |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
| 点击此处可从《计算机应用研究》浏览原始摘要信息 |
|
点击此处可从《计算机应用研究》下载全文 |
