Securing Localization on the Internet of Drones: A Trust Based Intrusion Prevention System

The Internet of Drones (IoD) has recently gained popularity in several areas, such as military operations, smart agriculture, traffic analysis and Search And Rescue (SAR). In a SAR mission, drones' localization is a key element of IoD. It is a fundamental process in Cyber-Physical Systems (CPS), where environmental and location data are intimately linked. However, the protection of the drone's localization from security attacks and threats like injection of false locations and data by malicious drones, remains a major concern. In this paper, we present a novel approach for securing drone's localization during SAR mission using Intrusion Prevention System (IPS). Our main objective is to detect any trajectory deviation using the anomaly behavior based on node's reputation and to isolate malicious drones when an alert is triggered. Our model consists of a Master Drone (MD), selected based on its high performance compared to other drones, and a Ground Control Station (GCS) that configures the drones with the necessary parameters for the mission. The MD is synchronized with GCS to analyze the behavior of other drones using our IPS and a reputation value to determine if there is a significant deviation, indicating that the planned trajectory has been modified or altered. The proposed system model is based on IPS and trust management in order to detect the deviation of drones from their already configured trajectory planning. A case study of the proposed framework is provided in this paper.