A robust Internet of Drones security surveillance communication network based on IOTA

Abstract

Drones are increasingly utilized for a variety of purposes, spanning military to civilian applications. The rise in drone usage underscores privacy and security challenges concerning flight boundaries, data collection in public and private domains, and data storage and dissemination. Such issues highlight the drones’ capability to communicate and securely store data over potentially insecure channels. Recognizing these challenges and gaps in the research, this paper introduces an efficient and secure security surveillance model for the Internet of Drones (IoD). Our model ensures secure communication between Ground Stations (GS) and Drones, effectively addressing various attack types. Particularly, surveillance drones are vulnerable to physical capture attacks. We delve into a scenario where a network drone is physically apprehended. Leveraging the information stored within the drone, the attacker could potentially access the session. This paper proposes a solution to counter such threats. Through experiments using MATLAB and VScode, we evaluate our network’s efficiency and scalability in relation to the surge in transactions. The findings reveal our model’s prowess in handling large-scale networks. Specifically, when transactions surpass 1000 per minute, our model achieves approximately a 20% reduction in processing time compared to existing studies. Moreover, our approach facilitates about 80% enhanced communication efficiency relative to the contemporary state-of-the-art frameworks. A security analysis via AVISPA further corroborates the robustness and security of our proposed communication strategy against diverse attack types.