A Holistic Approach to Ensuring Safety and Cybersecurity in the Use of Intelligent Technologies in Air Transport

Authors

DOI:

https://doi.org/10.18372/1990-5548.75.17563

Keywords:

air transport, artificial intelligence, machine learning, decision-making systems, cybersecurity, framework

Abstract

The article is devoted to the study and analysis of the problems associated with the use of intelligent technologies in air transport security and cybersecurity issues. Possible dangers that may arise when using autonomous systems, including autonomous aircraft, are considered. The technical measures that can be taken to prevent these dangers, including the development of new methods of cybersecurity and protection against hacker attacks, are analyzed. The problem of ensuring security in air transport associated with the introduction of new technologies and automated systems is investigated. The risks associated with this process are described, such as possible aircraft accidents, data storage problems, and passenger safety issues. Technical measures that can be taken to ensure safety in air transport, including the development of new technologies and diagnostic methods that can detect possible problems before they become serious, are considered. Practical solutions to these problems are proposed, including the development of new security and cybersecurity systems that can be used in air transport. The technical measures that can be taken to ensure the safety and efficiency of the use of intelligent technologies in air transport are described. It is established that the developed simulation model can serve as an effective tool for managing the processes of aircraft ground handling at the airport, as well as allow predicting the results of such processes and developing algorithms for the rational allocation of resources, considering the functioning of the system in different modes. To ensure the efficient functioning of the aircraft ground handling system, it is proposed to implement technical measures to improve cybersecurity and ensure the system's resilience to possible cyberattacks.

Author Biographies

Dmitriy Shevchuk , National Aviation University, Kyiv

Doctor of Engineering Science. Senior research scientist

Head of the Department of Air Transport Organization

Faculty of Transport, Management and Logistic

Ivan Steniakin, National Aviation University, Kyiv

Post-graduate student. Software engineer

Department of Air Transport Organization. Faculty of Transport, Management and Logistic

References

International Air Transport Association. (2021). Global Aviation Data Management Report 2021. https://www.iata.org/contentassets/c81222d96c9a4e0bb4ff6ced0126f0bb/iata-annual-review-2021.pdf

A. Patterson, Information Systems – Using Information, Learning and Teaching Scotland, 2005.

European Union Aviation Safety Agency. (2021). European Aviation Safety Plan 2021–2025. https://www.easa.europa.eu/en/document-library/general-publications/annual-safety-review-2021

National Institute of Standards and Technology. (2017). Framework for Improving Critical Infrastructure Cybersecurity. https://nvlpubs.nist.gov/nistpubs/cswp/nist.cswp.04162018.pdf

A. Biryukov, D. Khovratovich, & I. Nikolić, (2016). Distinguisher and related-key attack on the full AES-256. In Advances in Cryptology – CRYPTO 2016 (pp. 1–20). Springer.

A. K. Jain, A. Ross & K. Nandakumar, (2016). Introduction to biometrics. Springer.

ISO/IEC 27001 Information technology – Security techniques – Information security management systems. (2013). https://www.iso.org/standard/54534.html

European Union Agency for Cybersecurity. (2021). Good practices for securing smart airports. https://www.enisa.europa.eu/publications/securing-smart-airports

National Cyber Security Centre. (2018). Penetration Testing: Technical Guide. https://www.ncsc.gov.uk/guidance/penetration-testing

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Published

2023-03-26

Issue

Section

AVIATION TRANSPORT