Research on low-rate DDoS attack of SDN network in cloud environment
Aiming at the problems of low-rate DDoS attack detection accuracy in cloud SDN network and the lack of unified framework for data plane and control plane low-rate DDoS attack detection and defense,a unified framework for low-rate DDoS attack detection was proposed.First of all,the validity of the da...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2019-06-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2019120/ |
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| _version_ | 1841539388294561792 |
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| author | Xingshu CHEN Qiang HUA Yitong WANG Long GE Yi ZHU |
| author_facet | Xingshu CHEN Qiang HUA Yitong WANG Long GE Yi ZHU |
| author_sort | Xingshu CHEN |
| collection | DOAJ |
| description | Aiming at the problems of low-rate DDoS attack detection accuracy in cloud SDN network and the lack of unified framework for data plane and control plane low-rate DDoS attack detection and defense,a unified framework for low-rate DDoS attack detection was proposed.First of all,the validity of the data plane DDoS attacks in low rate was analyzed,on the basis of combining with low-rate of DDoS attacks in the aspect of communications,frequency characteristics,extract the mean value,maximum value,deviation degree and average deviation,survival time of ten dimensions characteristics of five aspects,to achieve the low-rate of DDoS attack detection based on bayesian networks,issued by the controller after the relevant strategies to block the attack flow.Finally,in OpenStack cloud environment,the detection rate of low-rate DDoS attack reaches 99.3% and the CPU occupation rate is 9.04%.It can effectively detect and defend low-rate DDoS attacks. |
| format | Article |
| id | doaj-art-e65c3945b3f14852895030d45f5fcba0 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2019-06-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-e65c3945b3f14852895030d45f5fcba02025-01-14T07:17:14ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2019-06-014021022259728016Research on low-rate DDoS attack of SDN network in cloud environmentXingshu CHENQiang HUAYitong WANGLong GEYi ZHUAiming at the problems of low-rate DDoS attack detection accuracy in cloud SDN network and the lack of unified framework for data plane and control plane low-rate DDoS attack detection and defense,a unified framework for low-rate DDoS attack detection was proposed.First of all,the validity of the data plane DDoS attacks in low rate was analyzed,on the basis of combining with low-rate of DDoS attacks in the aspect of communications,frequency characteristics,extract the mean value,maximum value,deviation degree and average deviation,survival time of ten dimensions characteristics of five aspects,to achieve the low-rate of DDoS attack detection based on bayesian networks,issued by the controller after the relevant strategies to block the attack flow.Finally,in OpenStack cloud environment,the detection rate of low-rate DDoS attack reaches 99.3% and the CPU occupation rate is 9.04%.It can effectively detect and defend low-rate DDoS attacks.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2019120/cloud computingsoftware defined networkinglow-rate DDoS attackBayesian network |
| spellingShingle | Xingshu CHEN Qiang HUA Yitong WANG Long GE Yi ZHU Research on low-rate DDoS attack of SDN network in cloud environment Tongxin xuebao cloud computing software defined networking low-rate DDoS attack Bayesian network |
| title | Research on low-rate DDoS attack of SDN network in cloud environment |
| title_full | Research on low-rate DDoS attack of SDN network in cloud environment |
| title_fullStr | Research on low-rate DDoS attack of SDN network in cloud environment |
| title_full_unstemmed | Research on low-rate DDoS attack of SDN network in cloud environment |
| title_short | Research on low-rate DDoS attack of SDN network in cloud environment |
| title_sort | research on low rate ddos attack of sdn network in cloud environment |
| topic | cloud computing software defined networking low-rate DDoS attack Bayesian network |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2019120/ |
| work_keys_str_mv | AT xingshuchen researchonlowrateddosattackofsdnnetworkincloudenvironment AT qianghua researchonlowrateddosattackofsdnnetworkincloudenvironment AT yitongwang researchonlowrateddosattackofsdnnetworkincloudenvironment AT longge researchonlowrateddosattackofsdnnetworkincloudenvironment AT yizhu researchonlowrateddosattackofsdnnetworkincloudenvironment |