Title :
A research of spam Identification and its disposal scheme
Author :
Fang Fei-fei ; Qu Liang-bo
Author_Institution :
Comput. Eng. Sch., Qingdao Technol. Univ., Qingdao, China
Abstract :
This paper presents a new Bayesian trigram model for filtering and identifying spam. On the basis of the low false positive rate, its Identification rate and accuracy are largely improved compared with the general Bayesian model. The article first explains the principle and realization of Bayesian trigram model. Then points out the advantages of it by comparing with the Bayesian model.
Keywords :
belief networks; security of data; unsolicited e-mail; Bayesian trigram model; disposal scheme; false positive rate; spam filtering; spam identification rate; Algorithm design and analysis; Computers; Electronic mail; Filtering; Silicon compounds; Thesauri; Bayes; Identification; corpus; spam;
Conference_Titel :
Computer Application and System Modeling (ICCASM), 2010 International Conference on
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4244-7235-2
Electronic_ISBN :
978-1-4244-7237-6
DOI :
10.1109/ICCASM.2010.5622614
