垃圾短信大数据自动识别技术

doi:10.11959/j.issn.2096-0271.2018024

Abstract

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.

Key words: spam message, big data, artificial intelligence, fingerprint algorithm

CLC Number:

TP393

Huasheng LIN, Ling QIAN, Ying ZHOU, Xi YANG, Jing LI. Automatic identification technology for spam message[J]. Big Data Research, 2018, 4(2): 115-120.

[1]	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.
[2]	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.
[3]	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.
[4]	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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