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