Computational Models for Intelligence and Automation
MTD-IDS Approach for Communication Interruption in Secure Targeted Drone Navigation
Authors: Subhajit Ghosh, Avik Kumar Das and Neepa Biswas
Publishing Date: 28-08-2025
ISBN: 978-81-975670-1-8
Abstract
Ensuring that communication remains secure and uninterrupted during targeted drone navigation is a significant challenge, especially in areas vulnerable to cyber threats and signal disruptions. This paper presents an innovative approach that combines Moving Target Defense (MTD) and an Intrusion Detection System (IDS) to tackle communication interruptions in autonomous drone operations. By utilizing dynamic frequency hopping, encryption techniques, and anomaly detection algorithms, our method boosts resilience against adversarial attacks like jamming, spoofing, and unauthorized access. The system continuously monitors network traffic and adjusts its communication channels to effectively respond to evolving threats in real time. Performance evaluations show that our approach greatly lowers the success rate of attacks while keeping drone navigation stable and efficient. A comparative analysis with existing security frameworks underscores the benefits of our method in terms of adaptability, detection accuracy, and operational reliability. This research plays a vital role in enhancing secure drone communications by incorporating proactive defense strategies, ultimately strengthening the robustness of autonomous aerial systems in mission-critical applications.
Keywords
UAV, moving target defense, drone communication, drone attacks, Intrusion Detection System.
Cite as
Subhajit Ghosh, Avik Kumar Das and Neepa Biswas, "MTD-IDS Approach for Communication Interruption in Secure Targeted Drone Navigation", In: Puneet Kumar Gupta (eds), Computational Models for Intelligence and Automation, SCRS, India, 2025, pp. 96-103. https://doi.org/10.56155/978-81-975670-1-8-9