Research On Key Technology Of Communication And Data Security For Internet Of Vehicle

The rapid development of mobile communication and artificial intelligence technology has driven the intelligent and networked upgrading of urban transportation systems and the automotive manufacturing industry,which led to the Internet of Vehicles(IoVs).Compared with single-vehicle intelligent applications such as original autonomous driving,the collaborative applications of the IoVs,such as multi-vehicle collaborative perception and collaborative driving,can leverage the computing,communication,storage,and other resources of intelligent vehicles and roadside infrastructure more efficiently,which is beneficial to improving traffic state perception and warning capabilities and ultimately achieving improved traffic system efficiency.However,technological development is a double-edged sword.While the IoVs technology is developing rapidly,the security threats to the IoVs are also becoming increasingly severe,and the demand for security protection is growing continuously.In particular,because IoVs involve multiple cyber physical systems,network attacks not only bring harm to the digital space but also directly cause serious problems such as traffic congestion and accidents in the transportation system.This dissertation focuses on the key scientific issues of communication and data security in the emerging IoVs,taking the collaborative applications of the IoVs as the research scenario and focusing on innovative breakthroughs in the three areas of secure access,trust interaction,and data security and privacy in vehicle collaboration.The goal is to systematically ensure and enhance the security and trustworthiness of vehicle collaborative applications in high-dynamic mobile IoVs.Specifically,the main challenges are as follows:(1)The highly dynamic network environment and open wireless communication in IoVs make it difficult for vehicles to trust each other,thus ensuring secure access is necessary.However,existing security access technologies for IoVs have high communication and computational complexity,making their deployment and promotion difficult.(2)Legitimate vehicles in IoVs also have a motivation to launch malicious attacks,thus ensuring the secure and trusted interaction of IoV nodes to resist the malicious or selfish behavior of legitimate nodes is necessary.However,the intelligence and accuracy of existing trusted interaction technologies for IoVs are insufficient,making it difficult to achieve efficient and accurate trust evaluation and management throughout the entire life cycle.(3)Emerging IoV collaborative applications rely on frequent information exchange and massive data analysis.The interaction data in IoVs presents characteristics such as large data volume,complex structure,and sensitive information.Data theft and privacy leaks frequently occur,and data security and privacy protection strategies urgently need optimization.Furthermore,the current research mainly focuses on centralized security protection strategies and lacks perception of the emerging complex and heterogeneous IoV network architecture and security situation.Based on the existing work,this dissertation conducts research in the following three aspects to address the above emerging security challenges:(1)To address the security access problem in IoVs,a lightweight security access authentication mechanism for IoV empowered by cybertwin-chain is proposed in Chapter 3.This mechanism uses blockchain technology to ensure the security and reliability of the vehicle access process.The cybertwin technology is introduced to transfer the physical communication of the vehicle nodes to virtual communication,using the abundant computing and communication resources of the traffic infrastructure to reduce the communication delay and computation overhead of the wireless access side in dense communication scenarios or computationally complex vehicle cooperative applications.A Zero-Knowledge Proof optimized authentication mechanism and a layered diffusion blockchain consensus mechanism are designed for this scenario while optimizing identity privacy protection and system efficiency.This solution is important for the security protection of IoV communication and intelligent vehicle cooperation in future ubiquitous network scenarios.Security analysis and simulation experiments show the novelty and innovation of the proposed solution.(2)To address the trusted interaction problem connected vehicle cooperative applications,a blockchain-enhanced multi-dimensional interaction trust management mechanism for IoV is proposed in Chapter 4.Specifically,a distributed trust management framework is designed based on blockchain technology to ensure the security and reliability of the entire supervision process.Moreover,an efficient multi-dimensional trust evaluation mechanism for messages and nodes is proposed based on this distributed framework to improve the accuracy of node trust evaluation.Meanwhile,a hierarchical trust update mechanism and an optimized consensus algorithm are designed to improve the operational efficiency of the system.This solution aims to achieve dynamic realtime monitoring of IoV communication,eliminating the impact of malicious or selfish legitimate vehicles on vehicle cooperative applications.Simulation experiments are conducted to evaluate the security and system performance,which achieve good results.(3)To address the problem of privacy protection of crowdsensing service data in IoVs,a road network optimization-based efficient location privacy protection mechanism for IoVs is designed using differential privacy method.Firstly,a secure architecture of crowdsensing system based on blockchain is designed to ensure the security and reliability of the crowdsensing application transaction process and data.In addition,a vehicle location privacy protection method based on geographic indistinguishability is proposed,which incorporates the road network model and optimizes the differential privacy method to ensure low quality loss of task data uploaded by vehicles while guaranteeing location privacy.Finally,the mechanism is algorithmically optimized using optimization tools to achieve efficient and secure overall strategies.The experiments show that compared to existing solutions,this method achieves a balance between data security storage,privacy protection,and data availability,and improves service quilty of crowdsensing tasks while ensuring data security.This dissertation focuses on the security issues in IoVs under the background that the importance of security is dramatically increased.We have deeply studied the existing theoretical models,mechanism architectures and optimization schemes for the security protection of IoVs,and holistically enhanced them from three key aspects,i.e.secure access,trust interaction and data security and privacy protection,respectively.The dissertation also presents the corresponding research results,which have certain theoretical innovation and practical application value.This dissertation strictly follows the research method of model building,scheme design,algorithm application and experimental analysis,emphasizing the research process of mutual corroboration between theoretical method research and experimental simulation verification,to solve the key scientific problems in the process of IoVs network communication professionally.