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PCA-Based DDoS Attack Detection of SDN Environments

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Big Data Analytics for Cyber-Physical System in Smart City (BDCPS 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1303))

Abstract

Software defined networking, as a new network architecture, has the advantages of numerical control separation, open interfaces, and network virtualization. However, the new network architecture of SDN still faces the risk of being attacked by DDoS. DDoS attacks not only damage the hosts in the SDN network, but also have a serious impact on the entire SDN. This paper uses PCA to analyze network traffic and detect DDoS attacks. The experimental results show that PCA detection can detect DDoS attacks well.

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References

  1. Software-DefinedNetworking (SDN) Definition. https://www.opennetworking.org/sdn-definition/

  2. Kazemian, P., Chang, M., Zeng, H., et al.: Real time network policy checking using header space analysis. In: Presented as part of the 10th {USENIX} Symposium on Networked Systems Design and Implementation ({NSDI} 13), pp. 99–111 (2013)

    Google Scholar 

  3. Khurshid, A., Zou, X., Zhou, W., et al.: Veriflow: verifying network-wide invariants in real time. In: Presented as part of the 10th {USENIX} Symposium on Networked Systems Design and Implementation ({NSDI} 13), pp. 15–27 (2013)

    Google Scholar 

  4. Porras, P., Shin, S., Yegneswaran, V., et al.: A security enforcement kernel for OpenFlow networks. In: Proceedings of the first workshop on Hot topics in Software Defined Networks,pp. 121–126 (2012)

    Google Scholar 

  5. Shirali-Shahreza, S., Ganjali, Y.: Rewiflow: restricted wildcard openflowrules. ACM SIGCOMM Comput. Commun. Rev. 45(5), 29–35 (2015)

    Article  Google Scholar 

  6. Yorozu, Y., Hirano, M., Oka, K., Tagawa, Y.: Electron spectroscopy studies on magneto-optical media and plastic substrate interface. IEEE Transl. J. Magn. Japan 2, 740–741 (1987)

    Article  Google Scholar 

  7. Wang, M., Zhou, H., Chen, J., et al.: An approach for protecting the openflow switch from the saturation attack. In: 2015 4th National Conference on Electrical, Electronics and Computer Engineering. Atlantis Press (2015)

    Google Scholar 

  8. Garg G, Garg, R.: Detecting anomalies efficiently in SDN using adaptive mechanism. In: 2015 Fifth International Conference on Advanced Computing & Communication Technologies, pp. 367–370. IEEE (2015)

    Google Scholar 

  9. Hong, S., Xu, L., Wang, H., et al.: Poisoning network visibility in software-defined networks: new attacks and countermeasures. In: NDSS, vol. 15, pp. 8–11 (2015)

    Google Scholar 

  10. Dong, P., Du, X., Zhang, H., et al.: A detection method for a novel DDoS attack against SDN controllers by vast new low-traffic flows. In: 2016 IEEE International Conference on Communications (ICC), pp. 1–6. IEEE (2016)

    Google Scholar 

  11. Mousavi, S.M., St-Hilaire, M.: Early detection of DDoS attacks against SDN controllers. In: 2015 International Conference on Computing, Networking and Communications (ICNC), pp. 77–81. IEEE (2015)

    Google Scholar 

  12. Openflow-switch-v1.5.1. https://www.opennetworking.org/wp-content/uploads/2014/10/openflow-switch-v1.5.1.pdf. 14 Jan 2020

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Correspondence to Yue Zhang .

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Han, Lq., Zhang, Y. (2021). PCA-Based DDoS Attack Detection of SDN Environments. In: Atiquzzaman, M., Yen, N., Xu, Z. (eds) Big Data Analytics for Cyber-Physical System in Smart City. BDCPS 2020. Advances in Intelligent Systems and Computing, vol 1303. Springer, Singapore. https://doi.org/10.1007/978-981-33-4572-0_204

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  • DOI: https://doi.org/10.1007/978-981-33-4572-0_204

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-33-4573-7

  • Online ISBN: 978-981-33-4572-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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