信息指纹技术在垃圾短信灰名单审核中的应用研究
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摘要
信息指纹技术是对自然语言的一种处理技术。利用该技术识别相似垃圾短信,可实现对灰名单垃圾短信的自动识别和聚类处理。主要阐述了信息指纹技术在垃圾短信灰名单审核方面的原理及应用,重点从短信信息指纹处理、黑名单指纹库的建立、指纹识别处理效率的解决、审核策略的应用等几个方面进行叙述,并提出成本低效益高的灰名单审核过滤系统构建思路。为电信运营商在提高灰名单短信审核覆盖率、降低人工成本和降低投诉方面提供了理论和实践的借鉴。
Information fingerprint technology is a kind of processing technology of natural language. This paper uses the technology to identify similar spam messages, to realize the automatic recognition and clustering processing of spam messages. It focuses on the principle application of information fingerprint technology in graylist checking of spam messages, illustrating short message fingerprint processing, blacklist fingerprint database setting-up, the solution to raise fingerprint processing efficiency, the application of checking strategy, etc. Furthermore, it also gives the basic idea of constructing a cost-effective gray list filtering system, provides theoretical and practical references for telecom operatorsto break their delima between improving low coverage in filtering spam messages, cutting labor cost and reducing customer complaints.
Information fingerprint technology is a kind of processing technology of natural language. This paper uses the technology to identify similar spam messages, to realize the automatic recognition and clustering processing of spam messages. It focuses on the principle application of information fingerprint technology in graylist checking of spam messages, illustrating short message fingerprint processing, blacklist fingerprint database setting-up, the solution to raise fingerprint processing efficiency, the application of checking strategy, etc. Furthermore, it also gives the basic idea of constructing a cost-effective gray list filtering system, provides theoretical and practical references for telecom operatorsto break their delima between improving low coverage in filtering spam messages, cutting labor cost and reducing customer complaints.
引文
[1]吴世竟.垃圾短信过滤系统的设计与实现[D].北京:北京邮电大学,2012.
[2]刘金岭,宋连友,范玉虹.基于语义信息的中文短信文本相似度研究[J].计算机工程,2012,38(13):58-60.
[3]费洪晓,康松林,朱小娟,等.基于词频统计的中文分词的研究[J].计算机工程与应用,2005(7):68-100.
[4]麻会东,刘国华,李旭,等.基于提取关键词的中文文档复制检测研究[J].计算机工程与科学,2007,29(10):63-88.
[5]钟延辉.基于文本挖掘的垃圾短信过滤方法[D].电子科技大学,2009.
[6]金博,史彦军,滕弘飞,等.基于语义理解的文本相似度算法[J].大连理工大学学报,2005(2):291-297.
[7]张帆.基于指纹检索的文本相似性检测技术研究与应用[D].中南大学,2013.
[8]易陌锋.垃圾短信监控的原理与实现[J].中兴通讯技术,2005(6):50-54.
[9]刘为红.垃圾邮件检测与过滤关键技术研究[D].华南理工大学,2010.
[10]潘旭兵,林中.短信发送系统[J].电脑编程技巧与维护,2007(5).
[11]中国电信不良短信拦截系统功能指引[S].北京:中国电信集团公司,2012.
[2]刘金岭,宋连友,范玉虹.基于语义信息的中文短信文本相似度研究[J].计算机工程,2012,38(13):58-60.
[3]费洪晓,康松林,朱小娟,等.基于词频统计的中文分词的研究[J].计算机工程与应用,2005(7):68-100.
[4]麻会东,刘国华,李旭,等.基于提取关键词的中文文档复制检测研究[J].计算机工程与科学,2007,29(10):63-88.
[5]钟延辉.基于文本挖掘的垃圾短信过滤方法[D].电子科技大学,2009.
[6]金博,史彦军,滕弘飞,等.基于语义理解的文本相似度算法[J].大连理工大学学报,2005(2):291-297.
[7]张帆.基于指纹检索的文本相似性检测技术研究与应用[D].中南大学,2013.
[8]易陌锋.垃圾短信监控的原理与实现[J].中兴通讯技术,2005(6):50-54.
[9]刘为红.垃圾邮件检测与过滤关键技术研究[D].华南理工大学,2010.
[10]潘旭兵,林中.短信发送系统[J].电脑编程技巧与维护,2007(5).
[11]中国电信不良短信拦截系统功能指引[S].北京:中国电信集团公司,2012.