A Spam Filtering Model of Immune Based on Multi-Agent

DOI

10.2991/isaeece-17.2017.53How to use a DOI?

Keywords

Artificial Immune; Spam; Antigen Presentation; Multi-Agent

Abstract

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.

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/).

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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  - 10.2991/isaeece-17.2017.53
ID  - Jiang2017/03
ER  -