Name
Title | ||
|---|---|---|
Hypergraph clustering model-based association analysis of DDOS attacks in fog computing intrusion detection system |
Abstract | ||
|---|---|---|
The birth of fog computing has given rise to many security threats. Distributed denial of service (DDoS) attacks by intruders on fog nodes will cause system resources to be illegally appropriate. Intrusion detection system (IDS) is a powerful technology that can be used to resist DDoS attacks. In our previous research, we have proposed a fog computing intrusion detection system (FC-IDS) framework. In this paper, we mainly analyze and model the DDoS attacks under the framework of FC-IDS. We propose a hypergraph clustering model based on Apriori algorithm. This model can effectively describe the association between fog nodes which are suffering from the threat of DDoS. Through simulation, we verify that the resource utilization rate of the system can be effectively promoted through the DDoS association analysis. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1186/s13638-018-1267-2 | EURASIP Journal on Wireless Communications and Networking |
Keywords | Field | DocType |
DDoS,Fog computing,Hypergraph theory,Intrusion detection system,Association analysis | Denial-of-service attack,Computer science,Apriori algorithm,Computer network,Fog computing,Hypergraph clustering,Intrusion detection system | Journal |
Volume | Issue | ISSN |
2018 | 1 | 1687-1499 |
Citations | PageRank | References |
2 | 0.40 | 19 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xingshuo An | 1 | 2 | 0.40 |
| Jingtao Su | 2 | 2 | 1.41 |
| Xing Lü | 3 | 13 | 2.08 |
| Fuhong Lin | 4 | 108 | 19.75 |