网络与信息安全学报2024，Vol.10Issue(1)：102-111,10.DOI:10.11959/j.issn.2096-109x.2024012
基于深度学习的车联网无线密钥生成系统
Wireless key generation system for internet of vehicles based on deep learning
摘要
Abstract
In recent years,the widespread application of internet of vehicles technology has garnered attention due to its complex nature and point-to-point communication characteristics.Critical and sensitive vehicle information is transmitted between different devices in internet of vehicles,necessitating the establishment of secure and reliable lightweight keys for encryption and decryption purposes in order to ensure communication security.Traditional key generation schemes have limitations in terms of flexibility and expandability within the vehicle network.A popular alternative is the physical layer key generation technology based on wireless channels,which offers lightweight characteristics and a theoretical basis of security in information theory.However,in the context of internet of vehi-cles,the movement speed of devices impacts the autocorrelation of generated keys,requiring improvements to tradi-tional channel modeling methods.Additionally,the randomness and consistency of generated wireless keys are of higher importance in applications in internet of vehicles.This research focused on a key generation system based on the wireless physical layer,conducting channel modeling based on line-of-sight and multipath fading effects to re-flect the impact of vehicle speed on autocorrelation.To enhance the randomness of key generation,a differential quantization method based on cumulative distribution function was proposed.Furthermore,an information reconcil-iation scheme based on neural network auto-encoder was introduced to achieve a dynamic balance between reliabil-ity and confidentiality.Compared to the implementation of Slepian-Wolf low-density parity-check codes,the pro-posed method reduces the bit disagreement rate by approximately 30％.关键词
累积分布函数/自动编码器/Slepian-Wolf编码/车联网Key words
cumulative distribution function/autoencoder/Slepian-Wolf coding/internet of vehicles分类
信息技术与安全科学引用本文复制引用
汪涵,陈立全,王忠民,陆天宇..基于深度学习的车联网无线密钥生成系统[J].网络与信息安全学报,2024,10(1):102-111,10.基金项目
国家重点研发计划(2020YFE0200600)The National Key R&D Program of China(2020YFE0200600) （2020YFE0200600）
