An adult short message recognition algorithm based on restricted close test optimization

Author

Sun, Qin-dong ; Huang, Xin-Bo ; Zhang, Jiu-long

Author_Institution

Network Comput. & Security Tech. Key Lab., Xian Univ. of Technol., Xian

Volume

5

fYear

2008

fDate

12-15 July 2008

Firstpage

2492

Lastpage

2496

Abstract

The flooding of adult short message has become an urgent problem of safety of message content. Existing researches on short message filtering pay much attention to rubbish and advertising short messages, and the granularity of categorization were too coarse. With an analysis of the characteristics of adult short messages, and considering the effectiveness and real time performance of filtering algorithm, this paper proposes an adult short message discriminating algorithm based on adultism-degree computation, and a threshold selecting algorithm based on close test optimization. Experiments show that the proposed algorithm can effectively discriminate adult short message with a 94.4% correction rate, meanwhile it can meet the requirements of practical processing.

Keywords

electronic messaging; filtering theory; adultism-degree computation; filtering algorithm; message content safety; restricted close test optimization; short message discriminating algorithm; short message recognition algorithm; threshold selecting algorithm; Bayesian methods; Cybernetics; Filtering algorithms; Filters; Information security; Machine learning; Mobile communication; Support vector machine classification; Support vector machines; Testing; Adult short message; Content filtering; Content security; Threshold selecting;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2008 International Conference on

Conference_Location

Kunming

Print_ISBN

978-1-4244-2095-7

Electronic_ISBN

978-1-4244-2096-4

Type

conf

DOI

10.1109/ICMLC.2008.4620827

Filename

4620827