Research on DDoS detection in multi-tenant cloud based on entropy change
An attacker compromised a number of VMs in the cloud to form his own network to launch a powerful distrib-uted denial of service (DDoS) attack.DDoS attack is a serious threat to multi-tenant cloud.It is difficult to detect which VM in the cloud are compromised and what is the attack target,especiall...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2016-10-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016268/ |
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| _version_ | 1841539504313204736 |
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| author | Miao WANG Li-ming WANG Zhen XU Duo-he MA |
| author_facet | Miao WANG Li-ming WANG Zhen XU Duo-he MA |
| author_sort | Miao WANG |
| collection | DOAJ |
| description | An attacker compromised a number of VMs in the cloud to form his own network to launch a powerful distrib-uted denial of service (DDoS) attack.DDoS attack is a serious threat to multi-tenant cloud.It is difficult to detect which VM in the cloud are compromised and what is the attack target,especially when the VM in the cloud is the victim.A DDoS detection method was presented suitable for multi-tenant cloud environment by identifying the malicious VM at-tack sources first and then the victims.A distributed detection framework was proposed.The distributed agent detects the suspicious VM which generate the potential DDoS attack traffic flows on the source side.A central server confirms the real attack flows.The feasibility and effectiveness of the proposed detection method are verified by experiments in the multi-tenant cloud environment. |
| format | Article |
| id | doaj-art-557e2eeacf1f456cb6b54d1e0e28db8d |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2016-10-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-557e2eeacf1f456cb6b54d1e0e28db8d2025-01-14T07:11:19ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2016-10-013720421059706333Research on DDoS detection in multi-tenant cloud based on entropy changeMiao WANGLi-ming WANGZhen XUDuo-he MAAn attacker compromised a number of VMs in the cloud to form his own network to launch a powerful distrib-uted denial of service (DDoS) attack.DDoS attack is a serious threat to multi-tenant cloud.It is difficult to detect which VM in the cloud are compromised and what is the attack target,especially when the VM in the cloud is the victim.A DDoS detection method was presented suitable for multi-tenant cloud environment by identifying the malicious VM at-tack sources first and then the victims.A distributed detection framework was proposed.The distributed agent detects the suspicious VM which generate the potential DDoS attack traffic flows on the source side.A central server confirms the real attack flows.The feasibility and effectiveness of the proposed detection method are verified by experiments in the multi-tenant cloud environment.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016268/DDoS attackdetectionmulti-tenantcloud computing systementropy |
| spellingShingle | Miao WANG Li-ming WANG Zhen XU Duo-he MA Research on DDoS detection in multi-tenant cloud based on entropy change Tongxin xuebao DDoS attack detection multi-tenant cloud computing system entropy |
| title | Research on DDoS detection in multi-tenant cloud based on entropy change |
| title_full | Research on DDoS detection in multi-tenant cloud based on entropy change |
| title_fullStr | Research on DDoS detection in multi-tenant cloud based on entropy change |
| title_full_unstemmed | Research on DDoS detection in multi-tenant cloud based on entropy change |
| title_short | Research on DDoS detection in multi-tenant cloud based on entropy change |
| title_sort | research on ddos detection in multi tenant cloud based on entropy change |
| topic | DDoS attack detection multi-tenant cloud computing system entropy |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016268/ |
| work_keys_str_mv | AT miaowang researchonddosdetectioninmultitenantcloudbasedonentropychange AT limingwang researchonddosdetectioninmultitenantcloudbasedonentropychange AT zhenxu researchonddosdetectioninmultitenantcloudbasedonentropychange AT duohema researchonddosdetectioninmultitenantcloudbasedonentropychange |