DDOS Anomaly Detection And Mitigation In Software Defined Networking (SDN)

Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2018, Vol 20, Issue 5

Abstract

The introduction of Software Defined Networking as a panacea to the global demand for a more secure and highly dependable internet infrastructure has also brought along security issues. The adoption of OpenFlow Protocol (OFP) by SDN as the way of communication between controllers and switches has not only brought about easy and direct manipulation of data for enhanced packet forwarding policies, but also renders the network vulnerable to security issues (DDOS attacks) since the OF switch has to ask the controller to install new rules for any new incoming packet. In this paper, we prove that SDN is capable of handling security threats that arise from the above vulnerability. We implement a DDOS detection module that detects and blocks SYN flood attacks aimed to destabilize the flow of normal network traffic among users in a software-defined networking environment.

Authors and Affiliations

Abdul-Wadud Alhassan, Adebayo B. Salaudeen

Keywords

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  • EP ID EP395780
  • DOI 10.9790/0661-2005016672.
  • Views 114
  • Downloads 0

How To Cite

Abdul-Wadud Alhassan, Adebayo B. Salaudeen (2018). DDOS Anomaly Detection And Mitigation In Software Defined Networking (SDN). IOSR Journals (IOSR Journal of Computer Engineering), 20(5), 66-72. https://europub.co.uk/articles/-A-395780