Abstract
Wireless key generation holds significant promise for establishing cryptographic keys in Next-Gen Internet of Vehicles (IoV) systems. However, existing approaches often face inefficiencies and performance limitations caused by frequent channel probing and ineffective quantization. To address these challenges, this paper introduces LLMKey, a novel key generation system designed to enhance efficiency and security. We identify excessive channel probing and suboptimal quantization as critical bottlenecks in current methods. To mitigate these issues, we propose an innovative large language model (LLM)-based channel probing technique that leverages the capabilities of LLMs to reduce probing rounds while preserving crucial channel information. Instead of conventional quantization, LLMKey adopts a perturbed compressed sensing-based key delivery mechanism, improving both robustness and security. Extensive evaluations are conducted in four real-world scenarios, encompassing V2I (Vehicle-to-Infrastructure) and V2V (Vehicle-to-Vehicle) settings in both urban and rural environments. The results show that LLMKey achieves an average key agreement rate of 98.78%, highlighting its effectiveness and reliability across diverse conditions. © 2025 IEEE.
| Original language | English |
|---|---|
| Title of host publication | IEEE INFOCOM 2025 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) |
| Publisher | IEEE |
| Number of pages | 6 |
| ISBN (Electronic) | 9798331543709 |
| ISBN (Print) | 979-8-3315-4371-6 |
| DOIs | |
| Publication status | Published - 2025 |
| Event | IEEE International Conference on Computer Communications 2025 (IEEE INFOCOM 2025) - Park Plaza Westminster Bridge, London, United Kingdom Duration: 19 May 2025 → 22 May 2025 https://infocom2025.ieee-infocom.org/ |
Publication series
| Name | IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS |
|---|---|
| ISSN (Print) | 2159-4228 |
| ISSN (Electronic) | 2833-0587 |
Conference
| Conference | IEEE International Conference on Computer Communications 2025 (IEEE INFOCOM 2025) |
|---|---|
| Abbreviated title | IEEE INFOCOM 2025 |
| Place | United Kingdom |
| City | London |
| Period | 19/05/25 → 22/05/25 |
| Internet address |
Funding
The project was supported by the NSF of Guangdong Province (Project No. 2024A1515010192)
Research Keywords
- Internet of Vehicles
- large language model
- Physical layer key generation
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