Dynamic Modeling of Reactive Worm Propagation in P2P Networks

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

doi:10.3969/j.issn.0372-2112.2012.02.015

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Dynamic Modeling of Reactive Worm Propagation in P2P Networks

更新时间：2025-07-16

- Dynamic Modeling of Reactive Worm Propagation in P2P Networks
- Acta Electronica Sinica Vol. 40, Issue 2, Pages: 300-307(2012)
- 作者机构：
  
  1. 四川师范大学计算科学学院,可视化计算与虚拟现实四川省重点实验室,四川,成都,610101
  2. 中国电子科技集团公司第30研究所,四川,成都,610041
  3. 电子科技大学计算机科学与工程学院,四川,成都,610054
  4. 四川师范大学计算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. 中国电子科技集团公司第30研究所四川成都,610041
  6. 电子科技大学计算机科学与工程学院四川成都,610054
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.0372-2112.2012.02.015
  CLC： TP393
- Published：2012
- 稿件说明：
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FENG Chao-sheng, YUAN Ding, QING Yu, et al. Dynamic Modeling of Reactive Worm Propagation in P2P Networks[J]. Acta Electronica Sinica, 2012, 40(2): 300-307.
DOI：

FENG Chao-sheng, YUAN Ding, QING Yu, et al. Dynamic Modeling of Reactive Worm Propagation in P2P Networks[J]. Acta Electronica Sinica, 2012, 40(2): 300-307. DOI： 10.3969/j.issn.0372-2112.2012.02.015.

摘要

鉴于激发型蠕虫的巨大危害性

本文在考虑网络动态变化的情况下对激发型蠕虫的传播进行了深入地研究

提出了激发型蠕虫动态传播数学模型和免疫模型

并基于动态传播数学模型推导出了激发型蠕虫不会泛滥的充分条件.大规模仿真实验验证了传播模型的有效性和蠕虫不会泛滥充分条件的正确性.基于传播模型的分析表明

下载率是影响蠕虫传播的关键因素

蠕虫基本繁殖率是衡量蠕虫传播能力的关键指标.基于实测P2P网络数据和传播模型

预测和估计了激发型蠕虫的传播能力、传播速度和危害性

指出尽早重视P2P激发型蠕虫特别是尽早找到检测和控制方法的重要性和迫切性.

Abstract

In this paper

propagation pattern of reactive worms is studied.The propagation model and the immunization model of reactive worms are proposed

in which dynamic factors of P2P networks are taken into account.Further

the sufficient condition of worms not attaining an endemic state is deduced from the model of propagation of reactive worms in applying Epidemiology.Large scale simulation experiments validate the models and the sufficient condition.All the simulations also show that among all P2P-related parameters

the downloading rate is the crucial factor to the propagation of reactive worms

the basic reproduction number of worms is the index of propagation capability of worms

and the sufficient condition is helpful to early warn the presence of an epidemic.In addition

by using data from the Gnutella network

the propagation capability

propagation speed and the risk of reactive worms are predicted and evaluated based on the propagation model.Prediction and evaluation show that it is time that reactive worms should be taken into account.

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