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 A2 (meteorological information systems) has an insignificant risk with an estimated 0.1162, and assets A1 (air traffic control and management (ATM), navigational aids and approach) and A3 (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.
Highlights
In the context of the crisis caused by the COVID-19 pandemic and its consequences, the crucial importance of the sustainable transport of goods in the coordinated activities of international supply chain management has been highlighted more than ever
We provide an example and verification of a fuzzy expert model for accident and security risk assessment for a civil airport network and information systems (NIS) using the proposed algorithm according to the selected student training scenario
The expert model developed in this study, which can be used to assess the security risks of the airport NIS using the expert’s analysis with their knowledge, reveals the inaccuracy of input assessments and increases the validity of further management decisions based on the results obtained
Summary
In the context of the crisis caused by the COVID-19 pandemic and its consequences, the crucial importance of the sustainable transport of goods in the coordinated activities of international supply chain management has been highlighted more than ever. The paper presents an information model and software for airport network and information systems risk assessment, primarily intended for aviation education and training of professionals to fulfill such roles for ensuring safe and sustainable air transport. The Slovak Republic faces specific problems including a lack of multi- and interdisciplinary education of specialists for integrated personal protection, data protection, information protection, airport security, air transport security and safety, flight safety, crisis management, and crime prevention for safe and sustainable air transport. Finding solutions to the praxeological problem of educating these specialists with the support of current Software (SW) tools remains our challenge
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