期刊文献+

基于DNS Blocklist的反垃圾邮件系统的设计与实现 被引量:11

Design and Implementation of an Anti-Spam System Based on DNS Blocklist
在线阅读 下载PDF
导出
摘要 垃圾邮件浪费网络资源、干扰个人通讯、威胁着网络安全,甚至存在着盗用资源和散布谣言等问题,因此引起了全社会的广泛关注。但针对迅速增长的垃圾邮件,国内还缺乏相应的主动的控制机制。笔者研制了一个基于DNSBlocklist的过滤系统,该系统通过采用DNS技术、Openrelay测试技术以及基于策略的分级过滤规则技术实现了在整个教育网内的垃圾邮件过滤。用户可以根据需要,选择相应的过滤规则,有效地屏蔽已知来源的垃圾邮件。该文介绍了系统的结构和主要实现技术。 Spam is wasting the Internet resources,interrupting people's communication,threatening the network security.Even more,it often goes with stealth of resource and rumors.Thus it gets attention of the whole society recently.However,there is still no active control system available in China.Here authors build a filtration system based on DNS Blocklist using the technique of DNS,Open relay test and the grading filtration rule based on policy which can efficiently prevent the spam in CERNET.Users can choose the rules based on their policy to filter the known spam source.This paper introduces the architecture of system and its chief implementation techniques.
出处 《计算机工程与应用》 CSCD 北大核心 2003年第7期11-12,45,共3页 Computer Engineering and Applications
基金 国家863高技术研究发展计划项目资助(编号:2001AA142080)
  • 相关文献

参考文献5

  • 1[1]Jon Postel. On the Junk Mail Problem[S].RFC706,1975-11
  • 2[2]James Niccolai.China seen as a growing source of spam.http://www.infoworld.com/articles/en/xml/00/04/04/000404enspam.xml, 2000-04
  • 3[3]Joseph Neubauer. Is Your Exchange Server Relay-Secure?http://www.exchangeadmin.com/Articles/Index.cfm?ArticleID=7696,1999-11-29
  • 4[4]Travis Berkerly.E-mail please,hold the spam[J].Network World,2000-02;17(7) :71~75
  • 5[5]G Linderberg. Anti-Spam Recommendations for SMTP MTAs[S].RFC2505,1999-02

同被引文献61

  • 1肖明,殷锋,张楠.垃圾邮件过滤技术及发展[J].西南民族大学学报(自然科学版),2007,33(1):207-212. 被引量:8
  • 2王学军,赵琳琳,王爽.基于主动学习的视频对象提取方法[J].吉林大学学报(工学版),2013,43(S1):51-54. 被引量:3
  • 3Paul Graham.反垃圾信的新策略[J].程序员,2003(10):70-74. 被引量:1
  • 4胡可,张家树.基于人工免疫系统的反垃圾邮件过滤机制[J].计算机应用,2005,25(11):2559-2561. 被引量:6
  • 5刘洋,杜孝平,罗平,等.垃圾邮件的智能分析,过滤及Rough集讨论[C].第十二届中国计算机学会网络与数据通信学术会议,武汉,2002.
  • 6[1]Hall R J.CHANNEL S.Avoiding Unwanted Electronic Mail[M].Communications of ACM,March,1998.
  • 7[3]COHEN W.W.Learning Rules that Classify E-Mail[A].In AAAI Spring symposium on Machine Learning in information access[C].Califormia:IOS press,1996:18-25.
  • 8[4]DIAO Y.,LU H.,WU D.A Comparative study of Classification Based Personal E-Mail Filtering[C].In:Proc of The Fourth Pacific-Asia Conf on Knowledge Discovery and Data Mining,Keihanna Plaza,Kyoto,Japan,2000(4):18-20.
  • 9[5]CARRERAS X.,MARQUEZ L.Boosting Trees for Anti-Spam E-mail Filtering[C],in Proceedings of Euro Conference Recent Advances in NLP (RANLP-2001),2001:58-64.
  • 10[6]Y.FREUND,SCHAPIRE R E."Experiments with a new boosting algorithm," in Machine Learning:Proc.13th Int.Conf.San Mateo,CA:Morgan Kaufmann,1996:148-156.

引证文献11

二级引证文献36

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部