DocumentCode :
3347399
Title :
Research on Network Content Audit Based on Information Fingerprint
Author :
Liu, Tonglai ; Jiang, Hua ; Zhang, Wanzhen
Author_Institution :
Sch. of Comput. & Control, Guilin Univ. of Electron. Technol., Guilin, China
fYear :
2009
fDate :
14-17 Oct. 2009
Firstpage :
185
Lastpage :
187
Abstract :
Based on the specific features of advertisement robot widely existing in network information, a mixture strategy for network content filtering is presented in this paper. The strategy can determine quickly by calculating the fingerprint of network content, and Bayesian filtering is reused when the strategy can not determine. The result of this experiment shows that the strategy is more advanced than the sole Bayesian method in improving system running efficiency and finding out the phenomenon of advertisement robot.
Keywords :
Bayes methods; auditing; information filtering; random number generation; security of data; Bayesian filtering; advertisement robot; content warding; information fingerprint; network content audit; network content filtering; Bayesian methods; Computer networks; Filtering theory; Fingerprint recognition; Genetics; Information filtering; Information filters; Matched filters; Random number generation; Robots; Bayesian; information fingerprint; network content audit;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Genetic and Evolutionary Computing, 2009. WGEC '09. 3rd International Conference on
Conference_Location :
Guilin
Print_ISBN :
978-0-7695-3899-0
Type :
conf
DOI :
10.1109/WGEC.2009.50
Filename :
5402917
Link To Document :
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