Application of negative selection mutation algorithm in E-mail filter
基于否定选择变异算法的电子邮件过滤器

In order to enhance the identification and anti-fraud capabilities of the intelligent E-mail management system, a kind of E-mail filter based on negative selection mutation algorithm was designed and implemented in this paper. The application of the artificial immunology principle makes the E-mail filter have the capabilities of serf-studying and self- adapting. Meanwhile, the veracity of the system is improved by adopting the double deck filtering method. The experimental results show that this filtering system has better performance in accuracy rate, false-positives rate and false-negatives rate, and achieves expected aims.