Simulation-supported aviation cyber-security risk analysis: a case study

Schmitt, Angela R.; Edinger, Christiane; Mayer, Thomas; Niederl, Josef; Kiesling, Tobias

doi:10.1007/s13272-018-0331-2

Cited by 4 publications

(2 citation statements)

References 15 publications

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“…Furthermore, classify the attack components based on cyberattack surfaces and their mitigation. Schmitt et al [52] focused on cyber-threat situations with flight plan data processing and considered abnormal system behavior caused by unintentional acts and intentional manipulations. Li et al [51] focused on attacks possibilities on ADS-B by classical attack patterns and converted it into formal expressions.…”

Section: Aviation Security Threatsmentioning

confidence: 99%

Cyber security challenges in aviation communication, navigation, and surveillance

Dave

Choudhary

Sihag

et al. 2022

Computers & Security

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Section: Aviation Security Threatsmentioning

confidence: 99%

Cyber security challenges in aviation communication, navigation, and surveillance

Dave

Choudhary

Sihag

et al. 2022

Computers & Security

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“…Simulation technologies and modeling techniques effectively support the assessment of cyber security risks in aviation [3]. To achieve this, it is recommended to develop, maintain, and apply simulation models and cyber-attack modeling scenarios to connect and develop simulation models from gate to gate, and integrate human interaction with cyber-attack modeling scenarios.…”

Section: Overview Of Domestic and Foreign Research Studiesmentioning

confidence: 99%

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

et al. 2020

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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.

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Cyber security training for critical infrastructure protection: A literature review

Chowdhury

Gkioulos

2021

Computer Science Review

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Simulation-supported aviation cyber-security risk analysis: a case study

Cited by 4 publications

References 15 publications

Cyber security challenges in aviation communication, navigation, and surveillance

Cyber security challenges in aviation communication, navigation, and surveillance

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

Cyber security training for critical infrastructure protection: A literature review

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