2026-11-03T23:09:58Z https://jmvra.org/oai.php

oai:jmvra.org:JMVRA2610007 2026-10-30 vol4

SKYGUARD: REAL-TIME AIRSPACE RISK SCORING BY FUSING ADS-B AIRCRAFT DATA WITH RF-BASED DRONE DETECTION Sujay Aditya Vignesh Chinmai J Gowda ADS-B UAV detection RF fingerprinting data fusion risk scoring airspace safety machine learning Engineering, Science and Technology Manned aircraft and unmanned aerial vehicles (UAVs) now share the same airspace, yet existing systems either track only manned aircraft (ATC radar and ADS-B receivers) or detect only drones (counter-UAS RF scanners), and no affordable system correlates both to estimate collision risk in real time. This paper presents SkyGuard, a software-based airspace risk-scoring system that fuses Automatic Dependent Surveillance–Broadcast (ADS-B) aircraft data with radio-frequency (RF) based UAV detection data into a unified airspace model. A weighted algorithm computes a dynamic risk index from 0 to 100 using proximity, closest-point-of-approach convergence and aircraft altitude-band severity, scaled by detection confidence; a classification layer (CNN with Remote ID cross-referencing) is designed to distinguish authorized drones from unauthorized or hostile ones; and a four-tier alert scheme (Advisory, Caution, Warning, Emergency) notifies operators through a live web dashboard with a map-based risk overlay. The work covers the complete software pipeline using simulated and dataset-based RF inputs, with physical sensor integration planned as a later phase. SkyGuard demonstrates a low-cost, passive and legally compliant approach to airspace situational awareness for airports, border security, critical infrastructure and public events. JMVRA Publication 2026-10-30 Text Journal Article info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://jmvra.org/viewpaperforall.php?paper=JMVRA2610007 https://jmvra.org/papers/JMVRA2610007.pdf Journal of Modern and Versatile Research Approach; ISSN 2984-8911; Vol. 4; Issue 10; pp. a81-a88 en https://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess Copyright © 2026 The Author(s). Published by JMVRA Publication under the Creative Commons Attribution 4.0 International License (CC BY 4.0).