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基于贝叶斯概率理论的防火墙技术研究
引用本文:崔超,吴双,张宪忠,张志军,赵京磊.基于贝叶斯概率理论的防火墙技术研究[J].北京理工大学学报,2012,32(8):801-804.
作者姓名:崔超  吴双  张宪忠  张志军  赵京磊
作者单位:齐齐哈尔大学应用技术学院,黑龙江,齐齐哈尔 161006;浙江经贸职业技术学院应用工程系,浙江,杭州 310018;齐齐哈尔市信息技术研究所,黑龙江,齐齐哈尔 161006;北京北方节能环保有限公司,北京,100089
基金项目:国家自然科学基金资助项目(3078954)
摘    要:为解决在网络应用中垃圾邮件占用大量网络资源,并威胁邮件系安全的问题,根据垃圾邮件体的特点,在对大量垃圾邮件进行统计分析的基础上,依据贝叶斯理论,研究了垃圾邮件关键词统计概率的分布规律,并提出了在Solaris系统平台上使用SMTP协议服务器端垃圾邮件的过滤算法.LAN仿真测试结果表明,贝叶斯垃圾邮件概率公式的应用提高了垃圾邮件命中率.

关 键 词:过滤器  垃圾邮件  击中率
收稿时间:2011/10/24 0:00:00

Firewall Technology Based on Bayesian Probability Theory
CUI Chao,WU Shuang,ZHANG Xian-zhong,ZHANG Zhi-jun and ZHAOJing-lei.Firewall Technology Based on Bayesian Probability Theory[J].Journal of Beijing Institute of Technology(Natural Science Edition),2012,32(8):801-804.
Authors:CUI Chao  WU Shuang  ZHANG Xian-zhong  ZHANG Zhi-jun and ZHAOJing-lei
Institution:School of Applied Science and Technology, Qiqihar University, Qiqihar, Heilongjiang 161006, China;Department ofApplied Engineering,Zhejiang Economic and Trade Polytechnic,Hangzhou,Zhejiang 310018, China;School of Applied Science and Technology, Qiqihar University, Qiqihar, Heilongjiang 161006, China;Qiqihar Information Technology Institute, Qiqihar, Heilongjiang161006, China;China North Energy Conservation and Enviroment Protection Co., LTD, Beijing 100089, China
Abstract:In network environment, junk email always acts as a threat to the security of the mail system and takes up a lot of network resources. To deal with this problem, considering the properties of spam body, the probability distribution of spam keywords was studied based on Bayesian theory. A spam filtering algorithm was put forward by means of SMTP protocol on the Solaris platform and LAN emulation test was performed. The results show that the spam hit rate is increased with the application of Bayesian spam probability formula.
Keywords:filter  spam  hit rate
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