Title :
Information Filtering against Information Pollution and Crime
Author :
Ning Wang ; Keyu Jiang ; Meier, Rich ; Hongbiao Zeng
Author_Institution :
Inf. Dept., Fort Hays State Univ., Hays, KS, USA
Abstract :
With the development and increasing popularity of information technology, how to effectively receive and manage the information from the Internet becomes a more pronounced problem. According to certain standards, users can take some methods of information filtering to block the information they do not want and retrieve the information they want. In this way, people can effectively avoid false information, spam, commercial advertising, insulting, Internet attacks, pornography, and other internet problems. This paper focuses on information filtering systems against information pollution and crime, describes the characteristics and methods of information filtering, and introduces some information filtering software.
Keywords :
Internet; computer crime; information filtering; information management; Internet attacks; commercial advertising; crime; false information; information filtering software; information management; information pollution; information retrieval; information technology; insulting; pornography; spam; Information filters; Internet; Pollution; Software; Standards; Information Crime; Information Filtering; Information Pollution; Information Technology; Internet;
Conference_Titel :
Computing, Measurement, Control and Sensor Network (CMCSN), 2012 International Conference on
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4673-2033-7
DOI :
10.1109/CMCSN.2012.12