Vehicle-Key: A Secret Key Establishment Scheme for LoRa-enabled IoV Communications

Recent years have witnessed the remarkable growth of the Internet of Vehicles (IoV). Due to the high dynamics and ad-hoc nature of IoV communication, the lack of effective secret key establishment in IoV remains a security bottleneck. Physical layer key generation has emerged as a promising technology to establish a pair of cryptographic keys in a lightweight and information-theoretic secure way. However, prior works mainly focus on legacy communication technologies such as Wi-Fi, ZigBee, and 5G which can only achieve short range IoV communications. The emergence of Long-range (LoRa) communication technology that features long-range, low power, and extremely low data rate, brings new challenges for key generation in long range IoV scenarios. In this paper, we present Vehicle-Key, which is a secret key generation system to secure LoRa-enabled IoV communications. In Vehicle-Key, we design a novel deep learning model that can achieve channel prediction and quantization simultaneously. Additionally, we propose an autoencoder-based reconciliation method that improves the key agreement rate significantly. Extensive real-world experiments show that Vehicle-Key improves the key agreement rate by 15.10%-49.81% and key generation rate by 9-14 x compared with the state-of-the-art. Security analysis demonstrates that Vehicle-Key is secure against several common attacks. Moreover, we implement Vehicle-Key on a Raspberry Pi and show that it can be executed in 3.4 ms.

Automated summary

This paper presents Vehicle-Key, a secret key generation system for securing LoRa-enabled IoV communications. It utilizes a deep learning model to achieve channel prediction and quantization, and proposes an autoencoder-based reconciliation method to improve the key agreement rate. Extensive real-world experiments demonstrate that Vehicle-Key significantly improves the key agreement rate and key generation rate compared to the state-of-the-art approaches.