Software Define Network is a platform for network architecture used to create and design the virtual network hardware components, so it can be modified with dynamic connection settings with ease of implementation. The SDN controller is in charge of executing various network applications and preserving network services and functions. Due to the complication of the SDN architecture, the SDN faces numerous security challenges despite all of its incredible advantages. Because of its centralized and complex architecture, distributed denials of service (DDoS) attacks are frequent against SDN, particularly at the control layer where they can affect the entire network by using multiple resources at particular interval of time. Machine learning methods are utilized to quickly detect these types of threats. In current work, machine learning approach is proposed to detect the DDoS attack in multi-controller SDN environment of SDN. Experimental results shows that machine learning technique provides better accuracy and detection rate.

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Detecting Distributed Denial of Service (DDoS) Attacks in a Multi-controller SDN Environment Utilizing Machine Learning

  • Nishant Sanghani,
  • Gunjani Vaghela,
  • Bhavesh Borisaniya

摘要

Software Define Network is a platform for network architecture used to create and design the virtual network hardware components, so it can be modified with dynamic connection settings with ease of implementation. The SDN controller is in charge of executing various network applications and preserving network services and functions. Due to the complication of the SDN architecture, the SDN faces numerous security challenges despite all of its incredible advantages. Because of its centralized and complex architecture, distributed denials of service (DDoS) attacks are frequent against SDN, particularly at the control layer where they can affect the entire network by using multiple resources at particular interval of time. Machine learning methods are utilized to quickly detect these types of threats. In current work, machine learning approach is proposed to detect the DDoS attack in multi-controller SDN environment of SDN. Experimental results shows that machine learning technique provides better accuracy and detection rate.