Title :
An Immunological Approach to Filtering Email
Author :
Gang, Song ; Qiang, Hu
Author_Institution :
Coll. of Electron. & Inf. Eng., Chengdu Univ., Chengdu, China
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;
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
DOI :
10.1109/IFITA.2010.59