Designing Secure Big Data Analytics Mechanism Using Authentication for Drones-Assisted Military Applications

In this article, we present an efficient and secure communication scheme for military applications assisted by drones. The scheme involves authentication between the drones and their respective management server (MS), ensuring that the data collected by the drones is securely aggregated at the MS. Subsequently, the MS securely transmits the aggregated data to the cloud server(s). This approach allows for secure Big Data analytics to be performed on the data collected at the semi-trusted cloud server(s). A detailed security analysis and comparative analysis demonstrate that the proposed scheme can withstand several important attacks relevant to military applications. Additionally, it proves to be efficient compared to other authentication schemes in the same context. Furthermore, experimental results on secure Big Data analytics highlight the practical aspects and effectiveness of the designed scheme.