Automatic identification technology for spam message

Huasheng LIN; Ling QIAN; Ying ZHOU; Xi YANG; Jing LI

doi:10.11959/j.issn.2096-0271.2018024

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Automatic identification technology for spam message

COLUMN：2017 TOP 10 PRACTICES OF BIG DATA APPLICATION | 更新时间：2024-06-03

- Automatic identification technology for spam message
- Big data research Vol. 4, Issue 2, Pages: 2018024(2018)
- 作者机构：
  
  1. 中国移动通信集团公司信息安全管理与运行中心，北京 100031
  2. 中移（苏州）软件技术有限公司，江苏苏州 215163
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.2096-0271.2018024
  CLC： TP393
- Online First：2018-03，
  
  Published：15 March 2018
- 稿件说明：
移动端阅览
Huasheng LIN, Ling QIAN, Ying ZHOU, et al. Automatic identification technology for spam message[J]. Big data research, 2018, 4(2): 2018024.
DOI：

Huasheng LIN, Ling QIAN, Ying ZHOU, et al. Automatic identification technology for spam message[J]. Big data research, 2018, 4(2): 2018024. DOI： 10.11959/j.issn.2096-0271.2018024.

摘要

近年来，垃圾短信问题层出不穷，严重侵害了广大用户的通信权益。详细分析了垃圾短信治理面临的挑战、存在的问题及解决思路，利用人工智能手段，设计了一套基于指纹算法的垃圾短信大数据自动识别系统，对新系统的整体架构、工作流程和关键技术进行了详细的阐述。该新系统可以高效治理垃圾短信，全力对抗非法短信侵袭。

Abstract

In recent years

the problem of spam messages is endless

which seriously infringes on the communication rights and interests of the majority of users.The management challenges facing the spam messages

the exisiting problems and the respording solutions were analyzed in detail.Based on the use of artificial intelligence methods and big data

an automatic identification system with fingerprint algorithm of spam messages was designed.The architecture

workflow and key technoligies of the system were elaborated.And the system can deal with spam messages effectively.

关键词

Keywords

references

王斌 , 潘文锋 . 基于内容的垃圾邮件过滤技术综述 [J ] . 中文信息学报 , 2005 , 19 ( 5 ): 1 - 10 .

WANG B , PAN W F . A survey of contentbased anti-spam Email filtering [J ] . Journal of Chinese Information Processing , 2005 , 19 ( 5 ): 1 - 10 .

ANDROUTSOPOULOS I , KOUTSIAS J , CHANDRINOS K V , et al . An evaluation of naive Bayesian anti-spam filtering [J ] . Tetsu-to-Hagane , 2000 ( 2 ): 9 - 17 .

HO P T , KIM H S , KIM S R . Application of sim-hash algorithm and big data analysis in spam email detection system [C ] // The 2014 Conference on Research in Adaptive and Convergent Systems,October 5-8,2014,Towson,USA . New York:ACM Press , 2014 : 242 - 246 .

SRIRAM B , FUHRY D , DEMIR E , et al . Short text classification in twitter to improve information filtering [C ] // The 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval,July 19-23,2010,Geneva,Switzerland . New York:ACM Press , 2010 : 841 - 842 .

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Related Institution

Ping An Technology (Shenzhen) Co., Ltd.

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Key Laboratory of Tourism Information Fusion Processing and Data Ownership Protection, Ministry of Culture and Tourism, Lanzhou University

Technology Information Department, Gansu Provincial Department of Culture and Tourism

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