Source-based Defense Mechanism In Sdn With Support Vector Machine

Authors

DOI:

https://doi.org/10.34818/eoe.v8i3.14895

Abstract

Abstract DDoS (Distributed Denial of Service) is one of the cyber-attacks that make the network service unavailable. SDN (Software Defined Network) has tools to defeat the DDoS, because SDN has good features in defeating DDoS such as logically centralized controller, separation control plan, and programmability network. This journal purposed SVM (Support Vector Machine) that combined with Ryu controller that can predict the incoming packet based on the learned traffic, whether it is a normal packet or DDoS packet, and blocking the packet if the packet indicating the DDoS traffic. The result of the simulation was that SVM can mitigate the DDoS attack even with the biggest attack sequence. Index Terms: Software-Defined Network (SDN), Source-Based Defense Mechanism, Distributed Denial of Service (DDoS), Support Vector Machine (SVM)

References

[1] Yan, Qiao, F. Richard Yu, Qingxiang Gong, and Jianqiang Li., “Software-Defined Networking (SDN) and Distributed Denial of Service (DDoS) Attacks in Cloud Computing Environments: A Survey, Some Research Issues, and Challenges.” IEEE Communications Surveys & Tutorials., vol. 18, no. 1, pp. 602-622. OCT, 2016.

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Published

2021-06-01

Issue

Pages

1-8

Section

Program Studi S1 Teknik Telekomunikasi

How to Cite

Bulo, D. Y. A. M., Wahidah, I., & Negara, R. M. (2021). Source-based Defense Mechanism In Sdn With Support Vector Machine. EProceedings of Engineering, 8(3), 1-8. https://doi.org/10.34818/eoe.v8i3.14895