计算机应用与软件2016，Vol.33Issue(3)：294-298,313,6.DOI:10.3969/j.issn.1000-386x.2016.03.070
基于免疫 Agent 的垃圾邮件过滤模型
A SPAM FILTERING MODEL BASED ON IMMUNE-AGENT
摘要
Abstract
For the problems of traditional spam filtering methods such as cannot effectively identifying the unknown and variation features, heavier load in terminal server and longer delays in receiving mails,etc.,by making use of biological immunology principle and multi-Agent technology,we designed an immune multi-Agent-based spam filtering model SF-MA.The model is able to quickly judge spam generation and to remember the feature information by improving the SMTP protocol;we also designed an antigen presentation algorithm,and expanded the scale of self library;we introduced the vaccine concept into model to keep good genes and to realise the interaction of each Agent’s information,these enhanced the “memory”mechanism of entire model,and effectively extracted the information and variation features of the spam.Using the mail sample set to train and test the model,simulation results showed that the proposed model had better performance than other models,and effectively improved the characteristics of accuracy rate of spam model,as well as reduced false alarm rate.关键词
人工免疫/SMTP/协议/垃圾邮件/抗原提呈/疫苗/多 AgentKey words
Artificial immune/SMTP protocol/Spam/Antigen presentation/Vaccine Multi-agent分类
信息技术与安全科学引用本文复制引用
蒋亚平,田月霞,梅骁..基于免疫 Agent 的垃圾邮件过滤模型[J].计算机应用与软件,2016,33(3):294-298,313,6.基金项目
国家自然科学基金项目（61272038）；河南省科技厅科技攻关项目 （）
