Virus Propagation Modeling in Facebook

被引:4
作者
Fan, W. [1 ]
Yeung, K. H. [1 ]
机构
[1] City Univ Hong Kong, Dept Elect Engn, Hong Kong, Hong Kong, Peoples R China
来源
2010 INTERNATIONAL CONFERENCE ON ADVANCES IN SOCIAL NETWORKS ANALYSIS AND MINING (ASONAM 2010) | 2010年
关键词
NETWORKS;
D O I
10.1109/ASONAM.2010.22
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Online social network services have attracted more and more users in recent years. So the security in social networks becomes a critical problem. In this paper, we propose a virus model based on the application network of Facebook, which is the most popular among these social network service providers. We also model the virus propagation with an email virus model and compare the behaviors of virus spreading in Facebook and email network. We find that while Facebook provides a platform for application developers, it also provides the same chance for virus spreading. And virus will spread faster in Facebook network if users of Facebook spend more time on it for entertainment.
引用
收藏
页码:331 / 335
页数:5
相关论文
共 9 条
[1]  
[Anonymous], IMC 07
[2]  
[Anonymous], 2006, KDD 06
[3]   Emergence of scaling in random networks [J].
Barabási, AL ;
Albert, R .
SCIENCE, 1999, 286 (5439) :509-512
[4]   Scale-free topology of e-mail networks [J].
Ebel, H ;
Mielsch, LI ;
Bornholdt, S .
PHYSICAL REVIEW E, 2002, 66 (03) :1-035103
[5]  
Gjoka M., 2008, ACM SIGCOMM WORKSH S
[6]  
Komninos T., WINE 2006
[7]   Epidemic spreading in scale-free networks [J].
Pastor-Satorras, R ;
Vespignani, A .
PHYSICAL REVIEW LETTERS, 2001, 86 (14) :3200-3203
[8]  
Thommes R. W., INT COMM SIGN PROC 2, P981
[9]  
Zou C. C., 2003, TR03CSE04 UM ECE DEP