电子学报 ›› 2013, Vol. 41 ›› Issue (5): 884-889.DOI: 10.3969/j.issn.0372-2112.2013.05.009

• 学术论文 • 上一篇    下一篇

P2P网络中被动型蠕虫传播与免疫建模

冯朝胜1,2,3, 秦志光2, 袁丁1, 卿昱3   

  1. 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
  • 收稿日期:2011-01-27 修回日期:2013-03-13 出版日期:2013-05-25
    • 作者简介:
    • 冯朝胜 男,1971年生于四川广元,博士后,副教授,硕士生导师,中国计算机协会高级会员.2010年获得电子科技大学信息与通信工程博士学位.研究方向为分布式计算、网络与信息安全、恶意代码分析. E-mail:csfenggy@126.com
    • 基金资助:
    • 国家科技重大专项课题 (No.2011ZX03002-002-03); 国家自然科学基金 (No.60873075); 可视化计算与虚拟现实四川省重点实验室课题 (No.PJ2012002); 广东省产学研重点项目 (No.2012B091000054)

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

FENG Chao-sheng1,2,3, QIN Zhi-guang2, YUAN Ding1, QING Yu3   

  1. 1. School of Computer Science,Sichuan Normal University,Chengdu,Sichuan 610101,China;
    2. School of Computer Science & Engineering,University of Electronic Science and Technology of China,Chengdu,Sichuan 610054,China;
    3. The No.30 institute of China Electronic Technology Corporation,Chengdu,Sichuan 610041,China
  • Received:2011-01-27 Revised:2013-03-13 Online:2013-05-25 Published:2013-05-25
    • Supported by:
    • 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)

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.

关键词: 被动型蠕虫, P2P文件共享网, 传播, 免疫, 建模, 仿真

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.

Key words: passive worms, P2P networks, propagation, immunization, modeling, Simulations

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