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

Miroslav Kelemen, Volodymyr Polishchuk, Beáta Gavurová, Rudolf Andoga, Stanislav Szabo, Wenjiang Yang, John Christodoulakis, Martin Gera, Jaroslaw Kozuba, Peter Kaľavský and Matej Antoško
Additional contact information
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

Sustainability, 2020, vol. 12, issue 16, 1-20

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.

Keywords: airfreight transport; analysis of systems; processes and algorithms; sustainability; risk assessment; network and information systems (NIS); incident rate; airport assets (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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