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Educational Model for Evaluation of Airport NIS Security for Safe and Sustainable Air Transport

Author

Listed:
  • Miroslav Kelemen

    (Faculty of Aeronautics, Technical University of Kosice, 04121 Kosice, Slovakia)

  • Volodymyr Polishchuk

    (Faculty of Information Technologies, Uzhhorod National University, 88000 Uzhhorod, Ukraine)

  • Beáta Gavurová

    (Research and Innovation Centre Bioinformatics, USP TECHNICOM, FBERG, Technical University of Košice, 04001 Kosice, Slovakia)

  • Rudolf Andoga

    (Faculty of Aeronautics, Technical University of Kosice, 04121 Kosice, Slovakia)

  • Stanislav Szabo

    (Faculty of Aeronautics, Technical University of Kosice, 04121 Kosice, Slovakia)

  • Wenjiang Yang

    (School of Astronautics, Beihang University, Haidian District, Beijing 100191, China)

  • John Christodoulakis

    (Faculty of Physics, National Kapodistrian University of Athens, GR-15784 Athens, Greece)

  • Martin Gera

    (Faculty of Mathematics, Physics and Informatics, Comenius University in Bratislava, Bratislava, 84248 Mlynská Dolina, Slovakia)

  • Jaroslaw Kozuba

    (Faculty of Transport, Silesian University of Technology, 44100 Gliwice, Poland)

  • Peter Kaľavský

    (Faculty of Aeronautics, Technical University of Kosice, 04121 Kosice, Slovakia)

  • Matej Antoško

    (Faculty of Aeronautics, Technical University of Kosice, 04121 Kosice, Slovakia)

Abstract

One of the praxeological problems of safe and sustainable air transport (airfreight transport/air cargo, and air passenger transport) is the prevention and management of risks by competent staff, with the support of modern information and communication technologies. This paper presents an educational information model and software for the airport network and information systems risk assessment, primarily intended for aviation education and training of professionals for ensuring safe and sustainable air transport. The solution to the problem is based on the application of the fuzzy logic method in the air transport environment. Based on a fuzzy expert model, the selected scenario, and the input data established separately for airport assets by a group of 23 experts from aviation practice and a university, the following three assessments of airport network information system assets were constructed: Asset A 2 (meteorological information systems) has an insignificant risk with an estimated 0.1162, and assets A 1 (air traffic control and management (ATM), navigational aids and approach) and A 3 (runway monitoring system) received a low risk of airport network and information systems (NIS) security with ratings of 0.2623 and 0.2915, respectively. An airport NIS risk assessment was aggregated (0.2288), indicating a low degree of security risk to the airport’s network and information systems. The aggregated risk assessment of airport NIS, including financial loss data, was calculated as 0.1438, representing a low degree of security risk to the airport’s network and information systems. Scenarios for evaluating airport assets are changing for students during education. The results of the developed model and its software will be part of the Simulation Center of the Faculty of Aeronautics.

Suggested Citation

  • Miroslav Kelemen & Volodymyr Polishchuk & Beáta Gavurová & Rudolf Andoga & Stanislav Szabo & Wenjiang Yang & John Christodoulakis & Martin Gera & Jaroslaw Kozuba & Peter Kaľavský & Matej Antoško, 2020. "Educational Model for Evaluation of Airport NIS Security for Safe and Sustainable Air Transport," Sustainability, MDPI, vol. 12(16), pages 1-20, August.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:16:p:6352-:d:395749
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    References listed on IDEAS

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    1. Natàlia Cugueró-Escofet & Josep M. Rosanas, 2020. "Practical Wisdom for Sustainable Management and Knowledge Sharing," Sustainability, MDPI, vol. 12(10), pages 1-17, May.
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    Cited by:

    1. Miroslav Kelemen & Beata Gavurova & Volodymyr Polishchuk, 2022. "A Complex Hybrid Model for Evaluating Projects to Improve the Sustainability and Health of Regions and Cities," IJERPH, MDPI, vol. 19(13), pages 1-26, July.
    2. Miroslav Kelemen & Volodymyr Polishchuk & Beáta Gavurová & Róbert Rozenberg & Juraj Bartok & Ladislav Gaál & Martin Gera & Martin Kelemen, 2021. "Model of Evaluation and Selection of Expert Group Members for Smart Cities, Green Transportation and Mobility: From Safe Times to Pandemic Times," Mathematics, MDPI, vol. 9(11), pages 1-21, June.
    3. Boštjan Kovačič & Damjan Doler & Drago Sever, 2021. "Innovative Business Model for the Management of Airports in Purpose to Identify Runway Damage in Time," Sustainability, MDPI, vol. 13(2), pages 1-20, January.

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