Name
Abstract | ||
|---|---|---|
Many cyber-crimes, such as Denial of Service (DoS) attacks and banking frauds, originate from botnets. To prevent botnets from being taken down easily, botmasters have adopted peer-to-peer (P2P) mechanisms to prevent any single point of failure. However, sensor nodes that are often used for both, monitoring and executing sinkholing attacks, are threatening such botnets. In this paper, we introduce a novel mechanism to detect sensor nodes in P2P botnets using the clustering coefficient as a metric. We evaluated our mechanism on the real-world botnet Sality over the course of a week and were able to detect an average of 25 sensors per day with a false positive rate of 20%. |
Year | Venue | Field |
|---|---|---|
2015 | IEEE Conference on Communications and Network Security | False positive rate,Sality,Single point of failure,Denial-of-service attack,Computer science,Computer security,Botnet,Computer network,Dead Peer Detection,Peer to peer computing,Clustering coefficient |
DocType | ISSN | Citations |
Conference | 2474-025X | 2 |
PageRank | References | Authors |
0.40 | 6 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Leon Bock | 1 | 6 | 2.86 |
| Shankar Karuppayah | 2 | 124 | 9.82 |
| Tim Grube | 3 | 19 | 7.54 |
| Max Mühlhäuser | 4 | 1652 | 252.87 |
| Mathias Fischer | 5 | 156 | 21.11 |