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基于元胞蚁群算法的僵尸网络传播特征研究

赵攀 江宇波 魏正曦

四川大学学报(自然科学版)Issue(2):267-272,6.
四川大学学报(自然科学版)Issue(2):267-272,6.DOI:103969/j.issn.0490-6756.2014.02.009

基于元胞蚁群算法的僵尸网络传播特征研究

The study of spread characteristic in botnet based on cellular ant algorithm

赵攀 1江宇波 1魏正曦1

作者信息

  • 1. 四川理工学院计算机系,自贡 643000
  • 折叠

摘要

Abstract

In order to mitigate the characteristic changes in Botnet spread process,a novel depicted meth-od (Botnet Detecting algorithm based on Cellular Ant,BDCA)is proposed by cellular ant algorithm.In this method,the transformation relationships between ordinary nodes,susceptible nodes and infected nodes are defined,and the mathematical model which is match Botnet spread characteristic is built. Then,the optimal solution under stable conditions is solved by cellular ant algorithm.Finally,a simula-tion with NS2 was conducted to study the key factors of BDCA.Compared to other algorithm perform-ance,the results show that,BDCA has better adaptability.

关键词

僵尸网络/特征/感染/元胞蚁群

Key words

Botnet/Characteristic/Infected/Cellular ant

分类

信息技术与安全科学

引用本文复制引用

赵攀,江宇波,魏正曦..基于元胞蚁群算法的僵尸网络传播特征研究[J].四川大学学报(自然科学版),2014,(2):267-272,6.

基金项目

国家自然科学基金(60372013) (60372013)

四川省教育厅重点项目(13ZA0118) (13ZA0118)

人工智能四川省重点实验室开放基金项目(2012RYY02) (2012RYY02)

四川理工学院培育项目(2012PY13) (2012PY13)

四川大学学报(自然科学版)

OA北大核心CSCDCSTPCD

0490-6756

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