基于免疫算法的垃圾邮件过滤技术的研究  

Base on immune algorithm of spam filtering

作　　者：谷文成[1] 周宏君 韩俊松[3] 崔连河[4] 

机构地区：[1]齐齐哈尔大学网络信息中心,黑龙江齐齐哈尔161006 [2]林甸县第一中学,黑龙江大庆166300 [3]中国人民银行齐齐哈尔支行,黑龙江齐齐哈尔161006 [4]齐齐哈尔大学应用技术学院,黑龙江齐齐哈尔161006

出　　处：《齐齐哈尔大学学报（自然科学版）》2013年第3期1-5,共5页Journal of Qiqihar University(Natural Science Edition)

基　　金：齐齐哈尔市科学技术计划项目(GYGG2010-06-02)

摘　　要：针对垃圾邮件的过滤,提出了一种基于免疫算法的垃圾邮件过滤方法,并给出相应的实现算法。免疫算法具有很强的学习、识别、容错性、记忆和特征提取的能力,基于免疫算法的垃圾邮件过滤在动态性和自适应性等方面具有明显的优势,因此免疫算法较传统算法更加适用于针对于垃圾邮件的过滤。本文通过仿真实验验证了基于免疫算法的垃圾邮件过滤方法对垃圾邮件过滤的能力,实验结果表明,与传统算法贝叶斯算法的相比,基于免疫算法的垃圾邮件过滤更具有效性。Spam filter spare filtering method based on immune algorithm, and gives the corresponding implementation algorithm. Immune learning, recognition, fault tolerance, memory, and feature extraction algorithm based on immune algorithm spam filtering has obvious advantages in a dynamic and self-adaptive immune algorithm is more applicable than traditional algorithms for in the spam filter.Simulation results verify the ability to spam filtering method based on immune algorithm for spam filtering, the experimental results show that, compared with traditional algorithms Bayesian algorithm, immune algorithm-based spam filtering more obvious validity.

关 键 词：免疫算法 垃圾邮件 过滤 分类器 

分 类 号：TP393.083[自动化与计算机技术—计算机应用技术]