Traffic-driven epidemic spreading and its control strategies

被引：0
|
作者：
Yanqing Wu
Cunlai Pu
Lunbo Li
Gongxuan Zhang
机构：
[1] SchoolofComputerScienceandEngineering,NanjingUniversityofScienceandTechnology
来源：
Digital Communications and Networks | 2019年 / 5卷 / 01期
关键词：
D O I：
暂无
中图分类号：
O157.5 [图论];
学科分类号：
摘要：
Many epidemics or viruses in real life spread by taking advantage of other dynamic processes, e.g., the computer virus propagates with the transmission of packets. In this paper, we survey the recent progress in the study of Traffic-Driven Epidemic Spreading(TDES) on complex networks. First, we introduce several typical TDES models.Then, we analyze the key factors which have significant impact on the epidemic threshold, such as the traffic congestion and routing protocols. Furthermore, we discuss the control of the TDES by focusing on the network structure optimization and the immunization strategies. Finally, we put some issues that need to be further explored in the future.
引用
收藏
页码：56 / 61
页数：6
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