A Spam Filtering Model of Immune Based on Multi-Agent
- https://doi.org/10.2991/isaeece-17.2017.53How to use a DOI?
- Artificial Immune; Spam; Antigen Presentation; Multi-Agent
According to the traditional spam filtering method effectively identify unknown characteristics and variability of the ability is not strong,according to the basic principle of biological immune system and multi agent technology proposed based on immune multi-agent spam filtering model. The model can realize the information exchange of each Agent,enhance the whole model "memory" mechanism, and effectively extract the information and variation characteristics of spam. Spam experimental simulation results show that the model and other models compared has better performance,can effectively improve the correct rate of spam model characteristics and reduce the false alarm rate.
- © 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 Spam Filtering Model of Immune Based on Multi-Agent BT - Proceedings of the 2017 2nd International Symposium on Advances in Electrical, Electronics and Computer Engineering (ISAEECE 2017) PB - Atlantis Press SP - 275 EP - 279 SN - 2352-5401 UR - https://doi.org/10.2991/isaeece-17.2017.53 DO - https://doi.org/10.2991/isaeece-17.2017.53 ID - Jiang2017/03 ER -