Security in Software-Defined Networks Against Denial-of-Service Attacks Based on Increased Load Balancing Efficiency

The goal of software-oriented networks (SDNs), which enable centralized control by separating the control layer from the data layer, is to increase manageability and network compatibility. However, this form of network is vulnerable to the control layer going down in the face of a denial-of-service assault because of the centralized control policy. The considerable increase in events brought on by the introduction of fresh currents into the network puts a lot of strain on the control surface when the system is in reaction mode. Additionally, the existence of recurring events that seriously impair the control surface's ability to function, such as the gathering of statistical data from the entire network, might have a negative impact. This article introduces a new approach that uses a control box comprising a coordinating controller, a main controller that establishes the flow rules, and one or more sub-controllers that establish the rules to fend off the attack and avoid network paralysis. It makes use of current (when needed). The controllers who currently set the regulations are relieved of some work by giving the coordinating controller management and supervision responsibilities. Additionally, the coordinator controller distributes the load at the control level by splitting up incoming traffic among the controllers of the flow rules. Thus, a proposed method can avoid performance disruption of the flow rule setter's main controller and withstand denial-of-service attacks by distributing the traffic load brought on by the denial-of-service attack to one or more sub-controllers of the flow rule setter. The results of the experiments conducted indicate that, when compared to the existing solutions, the proposed solution performs better in the face of a denial-of-service assault.

@article{ZHANG2023,
  title     = {Security in Software-Defined Networks Against Denial-of-Service Attacks Based on Increased Load Balancing Efficiency},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {14},
  number    = {11},
  year      = {2023},
  publisher = {The Science and Information Organization},
  author    = {Ying ZHANG and Hongwei DING},
  doi       = {10.14569/IJACSA.2023.0141108},
  url       = {https://doi.org/10.14569/IJACSA.2023.0141108}
}