DocumentCode
3068275
Title
An Immunological Approach to Filtering Email
Author
Gang, Song ; Qiang, Hu
Author_Institution
Coll. of Electron. & Inf. Eng., Chengdu Univ., Chengdu, China
Volume
3
fYear
2010
fDate
16-18 July 2010
Firstpage
327
Lastpage
331
Abstract
The previous models or methods almost adopted static measure, and filters need be updated and maintained frequently, so they can not adapt to dynamic spam and lack of self-adaptation. In this paper, An Immunological approach to filtering junk Email has been built. The experiment shows that this model can efficiently raise both the recall ratio and precision ratio, and enhance the ability of self-adaptation and diversity for the junk Email.
Keywords
e-mail filters; information filtering; unsolicited e-mail; dynamic spam; email filtering; immunological approach; junk email; self adaptation; Computational modeling; Detectors; Electronic mail; Filtering; Libraries; Postal services; Training; black list; filter classification; immune; junk email;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Technology and Applications (IFITA), 2010 International Forum on
Conference_Location
Kunming
Print_ISBN
978-1-4244-7621-3
Electronic_ISBN
978-1-4244-7622-0
Type
conf
DOI
10.1109/IFITA.2010.59
Filename
5634675
Link To Document