Enhancing UAV Security Through Zero Trust Architecture: An Advanced Deep Learning and Explainable AI Analysis

arXiv:2403.17093v1 Announce Type: new
Abstract: In the dynamic and ever-changing domain of Unmanned Aerial Vehicles (UAVs), the utmost importance lies in guaranteeing resilient and lucid security measures. This study highlights the necessity of implementing a Zero Trust Architecture (ZTA) to enhance the security of unmanned aerial vehicles (UAVs), hence departing from conventional perimeter defences that may expose vulnerabilities. The Zero Trust Architecture (ZTA) paradigm requires a rigorous and continuous process of authenticating all network entities and communications. The accuracy of …

abstract advanced aerial ai analysis analysis architecture arxiv cs.lg deep learning domain dynamic eess.sp explainable ai highlights importance lies resilient security study through trust type unmanned aerial vehicles vehicles zero trust zero trust architecture