摘要
讨论了基于人工免疫原理的反垃圾邮件系统AIASS的生物免疫基础以及各个关键技术环节,对系统环境进行了定量和定性分析,并采用SpamAssassin垃圾邮件库对系统性能进行测试。实验结果表明引入人工免疫原理后,反垃圾邮件系统具备了优于传统方法的自适应能力和稳定性。
Issued the biologic foundation and various key processes of AIASS, which is an anti-spam system based on artificial immune principle, the system environment is analyzed qualitatively quantitatively. Also a spam library named SpamAssassin to test the performance of system is used. The result of experiment shows that the anti-spam system possesses stronger adaptability and stability than traditional method after introducing artificial immune principle.
出处
《电子科技大学学报》
EI
CAS
CSCD
北大核心
2007年第1期96-99,共4页
Journal of University of Electronic Science and Technology of China
基金
四川省科技厅科技攻关重点资助项目(03GG-066-021)
关键词
垃圾邮件
人工免疫
贝叶斯模型
计算智能
spam
artificial immunology
Bayes model
computational intelligence
