Modeling Propagation and Immunization of Passive Worms in Peer-to-Peer Networks

FENG Chao-sheng; QIN Zhi-guang; YUAN Ding; QING Yu

doi:10.3969/j.issn.0372-2112.2013.05.009

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Modeling Propagation and Immunization of Passive Worms in Peer-to-Peer Networks

更新时间：2025-07-16

- Modeling Propagation and Immunization of Passive Worms in Peer-to-Peer Networks
- Acta Electronica Sinica Vol. 41, Issue 5, Pages: 884-889(2013)
- 作者机构：
  
  1. 四川师范大学计算机科学学院,可视化计算与虚拟现实四川省重点实验室,四川,成都,610101
  2. 电子科技大学计算机科学与工程学院,四川,成都,610054
  3. 中国电子科技集团公司第30研究所,四川,成都,610041
  4. 四川师范大学计算机科学学院可视化计算与虚拟现实四川省重点实验室四川成都,610101
  5. 电子科技大学计算机科学与工程学院四川成都,610054
  6. 中国电子科技集团公司第30研究所四川成都,610041
- 作者简介：
- 基金信息：
  
  Subject of National Science and Technology Major Project of the Ministry of Science and Technology (No.2011ZX03002-002-03);National Natural Science Foundation of China (No.60873075);Visual Computing and Virtual Reality Key Laboratory of Sichuan Province (No.PJ2012002);Key Project of Industry-university-research Integration program of Guangdong Provicne (No.2012B091000054)
- DOI：10.3969/j.issn.0372-2112.2013.05.009
  CLC： TP393
- Published：2013
- 稿件说明：
移动端阅览
FENG Chao-sheng, QIN Zhi-guang, YUAN Ding, et al. Modeling Propagation and Immunization of Passive Worms in Peer-to-Peer Networks[J]. Acta Electronica Sinica, 2013, 41(5): 884-889.
DOI：

FENG Chao-sheng, QIN Zhi-guang, YUAN Ding, et al. Modeling Propagation and Immunization of Passive Worms in Peer-to-Peer Networks[J]. Acta Electronica Sinica, 2013, 41(5): 884-889. DOI： 10.3969/j.issn.0372-2112.2013.05.009.

摘要

鉴于被动型蠕虫的危害性

对被动型蠕虫进行了深入分析

进而基于平均场法建立了被动型蠕虫的传播模型和免疫模型.基于传播模型和流行病传播学理论推导出进入无蠕虫平衡状态的充分条件

仿真实验证明了该充分条件的正确性.另外

仿真实验还表明

下载率和恢复率是控制蠕虫传播的两个可控的关键参数.在免疫软件被编制出来前

降低下载率和提高恢复率能有效控制被动型蠕虫的传播.

Abstract

In this paper

we identified the features of passive worm.Further the models of propagation and immunization of passive worms are proposed in the mean-field methods.Based on the model of worm propagation and Epidemiology

the sufficient condition for the global stability of the worm free equilibrium is deduced.Simulations validate the condition.Both the sufficient condition and all the experiment results show that amongst all P2P-related factors having effect on passive wormpropagation

attack performance of passive worms is most sensitive to two P2P system parameters:the download rate and the recovery rate.Controlling the two parameters

i.e.decreasing the download rate and increasing the recovery rate

provides an effective means for throttling the spread of passive worms.

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