CNNs-Based End-to-End Asymmetric Encrypted Communication System Article Swipe
Yongli An
,
Zebing Hu
,
Haoran Cai
,
Zhanlin Ji
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.23919/icn.2023.0026
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.23919/icn.2023.0026
In this paper, we propose an asymmetric encrypted end-to-end communication system based on convolutional neural networks to solve the problem of secure transmission in the end-to-end wireless communication system. The system generates a key generator through a convolutional neural network as a bridge. The private and public keys establish a key pair relationship of arbitrary length sequence information. The transmitter and receiver consist of autoencoders based on convolutional neural networks. For data confidentiality requirements, we design the loss function of the end-to-end communication model based on a convolutional neural network. We also design bugs based on different predictions about the information the system eavesdropper has. Simulation results show that the system performs well on additive Gaussian white noise and Rayleigh fading channels. A legitimate party can establish a secure transmission under a designed communication system; an illegal eavesdropper without a key cannot accurately decode it.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.23919/icn.2023.0026
- https://ieeexplore.ieee.org/ielx7/9195266/10379046/10379056.pdf
- OA Status
- diamond
- Cited By
- 2
- References
- 35
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4390480669
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4390480669Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.23919/icn.2023.0026Digital Object Identifier
- Title
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CNNs-Based End-to-End Asymmetric Encrypted Communication SystemWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-12-01Full publication date if available
- Authors
-
Yongli An, Zebing Hu, Haoran Cai, Zhanlin JiList of authors in order
- Landing page
-
https://doi.org/10.23919/icn.2023.0026Publisher landing page
- PDF URL
-
https://ieeexplore.ieee.org/ielx7/9195266/10379046/10379056.pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
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https://ieeexplore.ieee.org/ielx7/9195266/10379046/10379056.pdfDirect OA link when available
- Concepts
-
Computer science, End-to-end principle, Encryption, Transmitter, Computer network, Convolutional neural network, Key (lock), Transmission (telecommunications), Communications system, Data transmission, Secure communication, Artificial intelligence, Telecommunications, Channel (broadcasting), Computer securityTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
2Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 2Per-year citation counts (last 5 years)
- References (count)
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35Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| primary_location.pdf_url | https://ieeexplore.ieee.org/ielx7/9195266/10379046/10379056.pdf |
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| primary_location.raw_source_name | Intelligent and Converged Networks |
| primary_location.landing_page_url | https://doi.org/10.23919/icn.2023.0026 |
| publication_date | 2023-12-01 |
| publication_year | 2023 |
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