AI-ENABLED DEFENSE-IN-DEPTH: A MULTI-LAYERED FRAMEWORK FOR COUNTERING UAS THREATS IN SMART AIRPORTS

Smart airports increasingly rely on interconnected cyber‑physical systems, data-driven operations, and automation, which expands the attack surface for incidents involving unmanned aircraft systems (UAS). This article develops an AI‑enabled defense‑in‑depth (DiD) conceptual framework for coun...

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Auteur principal:	Tadeusz ZIELIŃSKI
Format:	Artigo
Langue:	Inglês
Publié:	Silesian University of Technology 2026-03-01
Collection:	Scientific Journal of Silesian University of Technology. Series Transport
Sujets:	smart airports unmanned aircraft systems (uas) artificial intelligence (ai) in aviation counter-uas (c-uas) airport security frameworks
Accès en ligne:	https://sjsutst.polsl.pl/archives/2026/vol130/299_SJSUTST130_2026_Zielinski.pdf
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