DocumentCode
494891
Title
A Prior Distribution for Anti-spam Statistical Bayesian Model
Author
Begriche, Youcef ; Labiod, Houda
Author_Institution
IEEE, Paris, France
fYear
2009
fDate
24-26 June 2009
Firstpage
1
Lastpage
5
Abstract
This paper deals with Bayesian models applied to anti-spam. In most anti-spam related researches, authors assume that the probability of spam message is equal to 0.5, which is unrealistic. This pushes us to define a prior and a posterior probability laws to enhance the spam detection and increase the reliability decision. This work differs from previous results using the Bayesian approach for the anti-spam issue, especially through refinement and enhancement of various probability laws.
Keywords
Bayes methods; unsolicited e-mail; anti-spam statistical Bayesian model; posterior probability laws; prior distribution; spam detection; spam message; Bayesian methods; Costs; Filtering; IEEE members; Information security; Information systems; Niobium; Probability; Telecommunications; Unsolicited electronic mail;
fLanguage
English
Publisher
ieee
Conference_Titel
Network and Service Security, 2009. N2S '09. International Conference on
Conference_Location
Paris
Print_ISBN
978-2-9532-4431-1
Type
conf
Filename
5161647
Link To Document