Modeling and Assessing Vulnerabilities of Aircraft Cyber–Physical Power Systems Based on Complex Network Theory
The concept of more electric aircraft (MEA) is a major trend in the aircraft industry. Compared to the conventional aircraft electrical power system (AEPS), the MEA–EPS has become more integrated and complex. The MEA–EPS demonstrates typical characteristics of a cyber–physical system (CPS) as a resu...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2025-01-01
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| Series: | IET Electrical Systems in Transportation |
| Online Access: | http://dx.doi.org/10.1049/els2/3785433 |
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| author | Chang Liu Shuo Wang Zhiyong Fan Huixin Bai Tianlei Zang |
| author_facet | Chang Liu Shuo Wang Zhiyong Fan Huixin Bai Tianlei Zang |
| author_sort | Chang Liu |
| collection | DOAJ |
| description | The concept of more electric aircraft (MEA) is a major trend in the aircraft industry. Compared to the conventional aircraft electrical power system (AEPS), the MEA–EPS has become more integrated and complex. The MEA–EPS demonstrates typical characteristics of a cyber–physical system (CPS) as a result of the implementation of intelligent management and information sensing techniques, thereby transforming into an aircraft cyber–physical power system (ACPPS). However, the improved architecture provides reliability while also introducing vulnerability. The methodologies used to evaluate the reliability of conventional aircraft EPS are not easily transferable to ACPPS. Therefore, it is essential to assess the vulnerability of MEA–EPS for stable operation and optimal system design. To identify the critical components and branches of MEA–EPS, this paper proposes an ACPPS framework and a modeling approach. Additionally, by applying complex network theory, the system is abstracted into an undirected network. The statistical properties of the network are examined from both structural and functional perspectives, revealing that the system exhibits a robust scale-free characteristic. Finally, four attack strategies are used to simulate random failures and malicious attacks. Simulation results indicate that the cyber-side is more fragile than the physical-side and several countermeasures are recommended to defend against attacks. |
| format | Article |
| id | doaj-art-e9be33f7743a4b24a5411d48ec4bc964 |
| institution | OA Journals |
| issn | 2042-9746 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Electrical Systems in Transportation |
| spelling | doaj-art-e9be33f7743a4b24a5411d48ec4bc9642025-08-20T02:35:47ZengWileyIET Electrical Systems in Transportation2042-97462025-01-01202510.1049/els2/3785433Modeling and Assessing Vulnerabilities of Aircraft Cyber–Physical Power Systems Based on Complex Network TheoryChang Liu0Shuo Wang1Zhiyong Fan2Huixin Bai3Tianlei Zang4Engineering Techniques Training CenterNottingham Ningbo China Beacons of Excellence Research and Innovation InstituteEngineering Techniques Training CenterEngineering Techniques Training CenterCollege of Electrical EngineeringThe concept of more electric aircraft (MEA) is a major trend in the aircraft industry. Compared to the conventional aircraft electrical power system (AEPS), the MEA–EPS has become more integrated and complex. The MEA–EPS demonstrates typical characteristics of a cyber–physical system (CPS) as a result of the implementation of intelligent management and information sensing techniques, thereby transforming into an aircraft cyber–physical power system (ACPPS). However, the improved architecture provides reliability while also introducing vulnerability. The methodologies used to evaluate the reliability of conventional aircraft EPS are not easily transferable to ACPPS. Therefore, it is essential to assess the vulnerability of MEA–EPS for stable operation and optimal system design. To identify the critical components and branches of MEA–EPS, this paper proposes an ACPPS framework and a modeling approach. Additionally, by applying complex network theory, the system is abstracted into an undirected network. The statistical properties of the network are examined from both structural and functional perspectives, revealing that the system exhibits a robust scale-free characteristic. Finally, four attack strategies are used to simulate random failures and malicious attacks. Simulation results indicate that the cyber-side is more fragile than the physical-side and several countermeasures are recommended to defend against attacks.http://dx.doi.org/10.1049/els2/3785433 |
| spellingShingle | Chang Liu Shuo Wang Zhiyong Fan Huixin Bai Tianlei Zang Modeling and Assessing Vulnerabilities of Aircraft Cyber–Physical Power Systems Based on Complex Network Theory IET Electrical Systems in Transportation |
| title | Modeling and Assessing Vulnerabilities of Aircraft Cyber–Physical Power Systems Based on Complex Network Theory |
| title_full | Modeling and Assessing Vulnerabilities of Aircraft Cyber–Physical Power Systems Based on Complex Network Theory |
| title_fullStr | Modeling and Assessing Vulnerabilities of Aircraft Cyber–Physical Power Systems Based on Complex Network Theory |
| title_full_unstemmed | Modeling and Assessing Vulnerabilities of Aircraft Cyber–Physical Power Systems Based on Complex Network Theory |
| title_short | Modeling and Assessing Vulnerabilities of Aircraft Cyber–Physical Power Systems Based on Complex Network Theory |
| title_sort | modeling and assessing vulnerabilities of aircraft cyber physical power systems based on complex network theory |
| url | http://dx.doi.org/10.1049/els2/3785433 |
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