Spam mass sending examination based on dendritic cell algorithm

YANG Chao; LI Zi-yi

doi:10.13873/J.1000-9787(2015)10-0133-04

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Spam mass sending examination based on dendritic cell algorithm

更新时间：2025-09-11

- Spam mass sending examination based on dendritic cell algorithm
- Vol. 34, Issue 10, Pages: 133-136+140(2015)
- 作者机构：
  
  湖北大学计算机与信息工程学院
- 作者简介：
- 基金信息：
- DOI：10.13873/J.1000-9787(2015)10-0133-04
  CLC： TP393.098
- Published：2015
- 稿件说明：
移动端阅览
[1]杨超,李子怡.基于树突状细胞算法的垃圾邮件群发检测[J].传感器与微系统,2015,34(10):133-136+140.

YANG Chao, LI Zi-yi. Spam mass sending examination based on dendritic cell algorithm[J]. 2015, 34(10): 133-136+140.
[1]杨超,李子怡.基于树突状细胞算法的垃圾邮件群发检测[J].传感器与微系统,2015,34(10):133-136+140. DOI： 10.13873/J.1000-9787(2015)10-0133-04.

YANG Chao, LI Zi-yi. Spam mass sending examination based on dendritic cell algorithm[J]. 2015, 34(10): 133-136+140. DOI： 10.13873/J.1000-9787(2015)10-0133-04.

摘要

通过分析垃圾邮件的群发特征

结合危险理论的思想

提出了运用树突状细胞算法（DCA）检测垃圾邮件群发现象的方法。该方法从垃圾邮件群发的行为特征入手

对一段时间内垃圾邮件的群发特征进行分析

根据正常和垃圾邮件在群发特征表现上的差异

判断是否为垃圾邮件群发。实验结果表明:该方法能够有效、快速地检测出垃圾邮件群发现象

具有较高的检测率。

Abstract

Through analyzing on mass sending characteristics of spam

combining danger theory

put forward a method that exerts dendritic cell algorithm（ DCA） to examine spam mass sending phenomenon. Beginning with behavior characteristics of spam mass sending

the method analyzes the spam mass sending characteristics for a certain period

according to differences between the norm and the spam on the performance of mass sending characteristics

judge whether it is spam mass sending. Experimental result shows that this method can exam the spam mass sending phenomenon effectively and quickly

which has relatively high examination rate.

关键词

Keywords

references

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基于危险理论树突状细胞算法的入侵检测模型 [J]. 王慧. 广西民族大学学报(自然科学版) . 2011(02)

树突状细胞算法原理及其应用 [J]. 陈岳兵,冯超,张权,唐朝京. 计算机工程 . 2010(08)

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