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面向分层网络的社交蠕虫仿真建模研究
引用本文:王天博,夏春和,贾琼. 面向分层网络的社交蠕虫仿真建模研究[J]. 电子学报, 2017, 45(7): 1722-1730. DOI: 10.3969/j.issn.0372-2112.2017.07.024
作者姓名:王天博  夏春和  贾琼
作者单位:1. 北京市网络技术重点实验室, 北京 100191;2. 北京航空航天大学计算机学院, 北京 100191
基金项目:北京航空航天大学博士研究生卓越学术基金,国防基础科研计划,北京市教育委员会共建项目建设计划,中航工业产学研
摘    要:随着社交网络的普及,社交蠕虫已经成为了威胁社会的主要隐患之一.这类蠕虫基于拓扑信息和社会工程学在因特网中快速传播.先前的学者们对社交蠕虫的传播建模与分析主要存在两个问题:网络拓扑的不完整性和传播建模的片面性;因而导致对社交蠕虫感染规模的低估和人类行为的单一化建模.为了解决上述问题,本文提出了社交蠕虫传播仿真模型,该模型使用分层网络能更准确地抽象社交逻辑层与实际物理层之间的关系,以及利用人类移动的时间特性能更全面地刻画社交蠕虫的传播行为.实验结果表明,该仿真模型揭示了用户行为、网络拓扑参数以及不同的修复过程对社交蠕虫传播造成的影响.同时,文中对社交蠕虫的传播能力做出了定性分析,为网络防御提供了重要的理论支持.

关 键 词:社交蠕虫  传播行为  人类移动  仿真建模  
收稿时间:2015-09-15

Modeling and Simulation Study of Social Worms Oriented Hierarchical Networks
WANG Tian-bo,XIA Chun-he,JIA Qiong. Modeling and Simulation Study of Social Worms Oriented Hierarchical Networks[J]. Acta Electronica Sinica, 2017, 45(7): 1722-1730. DOI: 10.3969/j.issn.0372-2112.2017.07.024
Authors:WANG Tian-bo  XIA Chun-he  JIA Qiong
Affiliation:1. Beijing Key Laboratory of Network Technology, Beihang University, Beijing 100191, China;2. School of Computer Science and Engineering, Beijing 100191, China
Abstract:With the popularity of social networks,social worms have constituted one of the major security threats.This type of worm spreads fast in Internet networks based on topology information and social engineering.There are two critical problems of previous works,which result in underestimating the scale of infected network and lacking a comprehensive and accurate abstraction for human behaviors.These are structural imperfection of network topology and one-sidedness of the propagation model.To address the above problems,this paper proposed a novel simulation model of social worms.We more accurately and comprehensively abstracted the relationship between social logical layer and actual physical layer in a hierarchical network,and characterized the social worm propagation through the temporal characteristic of human mobility.Experimental results show the impacts of user behaviors,topology parameters and different recovery processes on the propagation.Meanwhile,we give the qualitative analysis of the spread ability.
Keywords:social worm  propagation behavior  human mobility  simulation modeling
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