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.
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CITATION STYLE
Tropea, M., Spina, M. G., & De Rango, F. (2023). Supporting Dynamic IDS Deployment with Load Balancing Strategy for SDN-enabled Drones in Emergency Scenarios. In MSWiM 2023 - Proceedings of the International ACM Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems (pp. 297–300). Association for Computing Machinery, Inc. https://doi.org/10.1145/3616388.3617549
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