Denial-of-Service Attack Defense Strategy for Continuous Variable Quantum Key Distribution via Deep Learning
In the practical Continuous Variable Quantum Key Distribution (CVQKD) system, there is a large gap between the ideal theoretical model and the actual physical system. There are still some inevitable flaws, which give quantum hackers the opportunity to manipulate the channel in complex communication...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-06-01
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| Series: | Mathematics |
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| Online Access: | https://www.mdpi.com/2227-7390/11/12/2681 |
| _version_ | 1827736579381133312 |
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| author | Wenhao Yin Yuhan Zhou Duan Huang |
| author_facet | Wenhao Yin Yuhan Zhou Duan Huang |
| author_sort | Wenhao Yin |
| collection | DOAJ |
| description | In the practical Continuous Variable Quantum Key Distribution (CVQKD) system, there is a large gap between the ideal theoretical model and the actual physical system. There are still some inevitable flaws, which give quantum hackers the opportunity to manipulate the channel in complex communication environments and launch Denial of Service attacks on the quantum channel. Therefore, a DoS attack-aware defense scheme for the CVQKD system based on convolutional neural networks (CNN) is proposed. The simulation results show that the proposed model can effectively detect DoS attacks launched by quantum hackers in CVQKD system in a complex communication environment, and the model has strong robustness due to the addition of the attention mechanism module. In addition, multiple sets of comparative experiments show that compared with the existing artificial neural network model, the CNN-based model has higher accuracy and stability. |
| first_indexed | 2024-03-11T02:11:17Z |
| format | Article |
| id | doaj.art-5c875b74beb3424cb2b9af8523eb73bd |
| institution | Directory Open Access Journal |
| issn | 2227-7390 |
| language | English |
| last_indexed | 2024-03-11T02:11:17Z |
| publishDate | 2023-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Mathematics |
| spelling | doaj.art-5c875b74beb3424cb2b9af8523eb73bd2023-11-18T11:28:19ZengMDPI AGMathematics2227-73902023-06-011112268110.3390/math11122681Denial-of-Service Attack Defense Strategy for Continuous Variable Quantum Key Distribution via Deep LearningWenhao Yin0Yuhan Zhou1Duan Huang2School of Computer Science and Engineering, Central South University, Changsha 410083, ChinaSchool of Mechanical and Manufacturing Engineering, The University of New South Wales, Sydney, NSW 2052, AustraliaSchool of Computer Science and Engineering, Central South University, Changsha 410083, ChinaIn the practical Continuous Variable Quantum Key Distribution (CVQKD) system, there is a large gap between the ideal theoretical model and the actual physical system. There are still some inevitable flaws, which give quantum hackers the opportunity to manipulate the channel in complex communication environments and launch Denial of Service attacks on the quantum channel. Therefore, a DoS attack-aware defense scheme for the CVQKD system based on convolutional neural networks (CNN) is proposed. The simulation results show that the proposed model can effectively detect DoS attacks launched by quantum hackers in CVQKD system in a complex communication environment, and the model has strong robustness due to the addition of the attention mechanism module. In addition, multiple sets of comparative experiments show that compared with the existing artificial neural network model, the CNN-based model has higher accuracy and stability.https://www.mdpi.com/2227-7390/11/12/2681continuous variable quantum key distributiondenial-of-service attacksdeep learning modelattention mechanism |
| spellingShingle | Wenhao Yin Yuhan Zhou Duan Huang Denial-of-Service Attack Defense Strategy for Continuous Variable Quantum Key Distribution via Deep Learning Mathematics continuous variable quantum key distribution denial-of-service attacks deep learning model attention mechanism |
| title | Denial-of-Service Attack Defense Strategy for Continuous Variable Quantum Key Distribution via Deep Learning |
| title_full | Denial-of-Service Attack Defense Strategy for Continuous Variable Quantum Key Distribution via Deep Learning |
| title_fullStr | Denial-of-Service Attack Defense Strategy for Continuous Variable Quantum Key Distribution via Deep Learning |
| title_full_unstemmed | Denial-of-Service Attack Defense Strategy for Continuous Variable Quantum Key Distribution via Deep Learning |
| title_short | Denial-of-Service Attack Defense Strategy for Continuous Variable Quantum Key Distribution via Deep Learning |
| title_sort | denial of service attack defense strategy for continuous variable quantum key distribution via deep learning |
| topic | continuous variable quantum key distribution denial-of-service attacks deep learning model attention mechanism |
| url | https://www.mdpi.com/2227-7390/11/12/2681 |
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