Measuring Vulnerability of Complex Networks by Simulating DDoS Attacks

Date Issued
2010
Author(s)
Kocarev, Ljupcho
Abstract
— In this paper we assess the vulnerability of
different generic complex networks by measuring the
throughput for networks with different load in presence of
Distributed Denial-of-Service (DDoS) attacks. DDoS attacks
are simulated by choosing a number of bot nodes using
several measures, such as: random, degree centrality,
eigenvector centrality, betweenness centrality and k-medoids
clustering algorithm. In order to obtain some information
about the vulnerability of the three different complex
networks (random, small-world and scale-free) we analyze
the useful throughput of these networks in the presence of
DDoS attack by the bot nodes.
Subjects

Complex networks, DDo...

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