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 attac...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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SpringerOpen
2018-10-01
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| Series: | EURASIP Journal on Wireless Communications and Networking |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s13638-018-1267-2 |
| _version_ | 1819210019068968960 |
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| author | Xingshuo An Jingtao Su Xing Lü Fuhong Lin |
| author_facet | Xingshuo An Jingtao Su Xing Lü Fuhong Lin |
| author_sort | Xingshuo An |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-23T06:04:31Z |
| format | Article |
| id | doaj.art-eaaae08cb66d4a1792bdcc27bcff0d01 |
| institution | Directory Open Access Journal |
| issn | 1687-1499 |
| language | English |
| last_indexed | 2024-12-23T06:04:31Z |
| publishDate | 2018-10-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | EURASIP Journal on Wireless Communications and Networking |
| spelling | doaj.art-eaaae08cb66d4a1792bdcc27bcff0d012022-12-21T17:57:35ZengSpringerOpenEURASIP Journal on Wireless Communications and Networking1687-14992018-10-01201811910.1186/s13638-018-1267-2Hypergraph clustering model-based association analysis of DDOS attacks in fog computing intrusion detection systemXingshuo An0Jingtao Su1Xing Lü2Fuhong Lin3School of Computer and Communication Engineering, University of Science and Technology BeijingSchool of Computer and Communication Engineering, University of Science and Technology BeijingSchool of Computer and Communication Engineering, University of Science and Technology BeijingSchool of Computer and Communication Engineering, University of Science and Technology BeijingAbstract 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.http://link.springer.com/article/10.1186/s13638-018-1267-2DDoSFog computingHypergraph theoryIntrusion detection systemAssociation analysis |
| spellingShingle | Xingshuo An Jingtao Su Xing Lü Fuhong Lin Hypergraph clustering model-based association analysis of DDOS attacks in fog computing intrusion detection system EURASIP Journal on Wireless Communications and Networking DDoS Fog computing Hypergraph theory Intrusion detection system Association analysis |
| title | Hypergraph clustering model-based association analysis of DDOS attacks in fog computing intrusion detection system |
| title_full | Hypergraph clustering model-based association analysis of DDOS attacks in fog computing intrusion detection system |
| title_fullStr | Hypergraph clustering model-based association analysis of DDOS attacks in fog computing intrusion detection system |
| title_full_unstemmed | Hypergraph clustering model-based association analysis of DDOS attacks in fog computing intrusion detection system |
| title_short | Hypergraph clustering model-based association analysis of DDOS attacks in fog computing intrusion detection system |
| title_sort | hypergraph clustering model based association analysis of ddos attacks in fog computing intrusion detection system |
| topic | DDoS Fog computing Hypergraph theory Intrusion detection system Association analysis |
| url | http://link.springer.com/article/10.1186/s13638-018-1267-2 |
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