Paper Info
Title
Measuring Structural Resilience through a Carrier Network Model
Abstract
In this paper we study network security that arises from the link structure of the network. We propose a hypothetical network in which members defend themselves through a mechanism that relies on the community structure of the network, the community structure provides a basis for mutualtrustworthiness. The goal of the attacker is to take control of the entire network by spreading an infectious virus among members of the network. When any member of a community is infected, the entire community is infected. Any infected individual has the ability to modify the link structure by establishing new links in the network, hence changing the community structure. Based on this mechanism, we define a metric of structural resilience of the network, which measures how much the network topology provides an inherent barrier to the infection process. We perform experiments on some standard graph classes and concludes that complete graphs enjoy the highest structural resilience, while star graphs have the lowest. We also perform experiments on several classes of synthesized random graphs and identify that graphs with a clear community structure tend to have high structural resilience.
Year
DOI
Venue
2016
10.1109/DASC-PICom-DataCom-CyberSciTec.2016.50
2016 IEEE 14th Intl Conf on Dependable, Autonomic and Secure Computing, 14th Intl Conf on Pervasive Intelligence and Computing, 2nd Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congress(DASC/PiCom/DataCom/CyberSciTech)
Keywords
Field
DocType
network security,community detection,network resilience,carrier network
Network science,Network formation,Dynamic network analysis,Computer science,Network security,Network simulation,Network architecture,Computer network,Network topology,Network management station
Conference
ISBN
Citations 
PageRank 
978-1-5090-4066-7
0
0.34
References 
Authors
5
2
Name
Order
Citations
PageRank
Ziheng Wei186.92
Jiamou Liu24923.19