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Modeling and Simulation of Sensor Placement Strategies to Detect Malicious UAS Operations

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F24727679%3A_____%2F20%3AN0000005" target="_blank" >RIV/24727679:_____/20:N0000005 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Modeling and Simulation of Sensor Placement Strategies to Detect Malicious UAS Operations

  • Original language description

    In this paper, we introduce a software framework for modeling and simulation of sensor placement strategies to detect malicious unmanned aerial systems operations. Three basic components are modeled – environment, detection sensors, and UAS. The environment is represented in the form of a 3D model defined by a polygonal mesh with material values assigned. Four types of sensors are modeled – camera, acoustic sensor, radar, and remote control radio signal detector. A two-phase iterative algorithm for sensor placement and its evaluation via simulation of UAS operations is introduced. We provide a taxonomy of malicious UAS operations based on data from various databases of incidents and attacks. Using this taxonomy, typical representatives of malicious UAS operations are generated for particular critical infrastructures. Features of the proposed framework were verified in scenarios with three typical representatives of critical infrastructures – airport, prison, and industrial complex. The results of these experiments are discussed, and general recommendations are provided.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

    <a href="/en/project/TL01000322" target="_blank" >TL01000322: Evolution of unmanned technologies and their societal perception: analysis of opportunities and minimization of risks</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2020

  • Confidentiality

    C - Předmět řešení projektu podléhá obchodnímu tajemství (§ 504 Občanského zákoníku), ale název projektu, cíle projektu a u ukončeného nebo zastaveného projektu zhodnocení výsledku řešení projektu (údaje P03, P04, P15, P19, P29, PN8) dodané do CEP, jsou upraveny tak, aby byly zveřejnitelné.

Data specific for result type

  • Article name in the collection

    2020 Integrated Communications Navigation and Surveillance Conference (ICNS)

  • ISBN

    978-1-7281-7270-5

  • ISSN

  • e-ISSN

    2155-4951

  • Number of pages

    12

  • Pages from-to

    2G2-1 - 2G2-12

  • Publisher name

    IEEE

  • Place of publication

  • Event location

    Herndon, VA, USA

  • Event date

    Sep 8, 2020

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article