A Model for Spam Filtering Using Support Vector Machine and Artificial Immune System
Authors
Yaping Jiang, Hao Guo, Peigen Guo
Corresponding Author
Yaping Jiang
Available Online March 2017.
- DOI
- 10.2991/isaeece-17.2017.64How to use a DOI?
- Keywords
- Spam, Legitimate, E-mail,Similarity Coefficient
- Abstract
Spam is a major problem of the Internet, because it can cause pollution and waste of resources in the network environment. Therefore,spam filtering is necessary. After spam filtering methods study, presents a support vector machine and artificial immune system combines filtration methods and filtration methods using MATLAB simulation experiments.
- Copyright
- © 2017, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Yaping Jiang AU - Hao Guo AU - Peigen Guo PY - 2017/03 DA - 2017/03 TI - A Model for Spam Filtering Using Support Vector Machine and Artificial Immune System BT - Proceedings of the 2017 2nd International Symposium on Advances in Electrical, Electronics and Computer Engineering (ISAEECE 2017) PB - Atlantis Press SP - 334 EP - 337 SN - 2352-5401 UR - https://doi.org/10.2991/isaeece-17.2017.64 DO - 10.2991/isaeece-17.2017.64 ID - Jiang2017/03 ER -