Supporting Dynamic IDS Deployment with Load Balancing Strategy for SDN-enabled Drones in Emergency Scenarios
Mauro Tropea, Mattia Giovanni Spina, Floriano De Rango
Abstract
A dynamic deployment of Intrusion Detection Systems (IDS) over drone networks exploiting the new Software-Defined Networking (SDN) paradigm in emergency scenarios is proposed. In such scenarios, maintaining network security can be a key element to consider for efficient and reliable communication. Drones equipped with IDS can play a vital role in monitoring and protecting the communication infrastructure in such scenarios. To this aim, a dynamic and time-sensitive deployment strategy for IDS on a fleet of drones is proposed to provide a high degree of fault tolerance regarding network defense. Moreover, a load-balancing strategy enabled by the SDN controller to better distribute the network traffic load to be analyzed by the IDS is designed.