Title | ||
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Comparison of the mean-field approach and simulation in a peer-to-peer botnet case study |
Abstract | ||
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Peer-to-peer botnets, as exemplified by the Storm Worm, and the spreading phase of Stuxnet, are a relatively new threat to security on the internet: infected computers automatically search for other computers to be infected, thus spreading the infection rapidly. In a recent paper, such botnets have been modeled using Stochastic Activity Networks, allowing the use of discrete-event simulation to judge strategies for combating their spread. In the present paper, we develop a mean-field model for analyzing botnet behavior and compare it with simulations obtained from the Moebius tool. We show that the mean-field approach provides accurate and orders-of-magnitude faster computation, thus providing very useful insight in spread characteristics and the effectiveness of countermeasures. |
Year | DOI | Venue |
---|---|---|
2011 | 10.1007/978-3-642-24749-1_11 | EPEW |
Keywords | DocType | Volume |
recent paper,present paper,moebius tool,spread characteristic,infected computer,mean-field approach,peer-to-peer botnets,mean-field model,peer-to-peer botnet case study,stochastic activity networks,storm worm,mean field,discrete event simulation | Conference | 6977 |
ISSN | Citations | PageRank |
0302-9743 | 7 | 0.48 |
References | Authors | |
15 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
anna kolesnichenko | 1 | 19 | 1.69 |
Anne Remke | 2 | 175 | 23.96 |
Pieter-Tjerk de Boer | 3 | 184 | 22.82 |
Boudewijn R. Haverkort | 4 | 1205 | 117.45 |
nicolas le thomas | 5 | 7 | 0.48 |