| 基于贝叶斯理论的垃圾邮件算法研究 |
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| 引用本文： | 王纲,李诚. 基于贝叶斯理论的垃圾邮件算法研究[J]. 齐齐哈尔轻工业学院学报, 2012, 0(1): 33-36 |
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| 作者姓名： | 王纲 李诚 |
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| 作者单位： | [1]齐齐哈尔65045部队,黑龙江齐齐哈尔161005 [2]中国民航大学空中交通管理学院,天津300300 |
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| 摘 要： | 为减少垃圾邮件在服务器端的出现，以贝叶斯理论为基础，探讨了可在邮件服务器端实现过滤和自我升级的系统；以合法和非法两类邮件的分析为基础，采用贝叶斯模型生成过滤器，用真实邮件进行仿真操作，验证了模型的可行性。
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| 关 键 词： | 贝叶斯理论 垃圾邮件 系统过滤 |
A spam filtering algorithm based on Bayesian theory |
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| WANG Gang,LI Cheng. A spam filtering algorithm based on Bayesian theory[J]. , 2012, 0(1): 33-36 |
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| Authors: | WANG Gang LI Cheng |
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| Affiliation: | 1. Qiqihar 65045 Troops, Heilongjiang Qiqihar 161006, China; 2. College of Air Traffic Management, Civil Aviation University of China, Tianjin 300300, China ) |
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| Abstract: | In order to reduce the appearance of spam on the server side, an e-mail system whose function of filtering and self-updating is achieved on the server-side of the system was discussed based on the Bayesian theory. The e-mail system discussed in this literature will analyze the e-mails it receives and classify them into 2 categories： legal and illegal. Ultimately, a generation of a filter using the Bayesian model was discussed. The feasibility of this model was verified and well-estimated by the operation of a simulation with real e-mails. |
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| Keywords: | Bayesian theory spam system filtering |
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