Research On Location Privacy Protection Of Internet Of Vehicles Based On Edge Computing

In recent years,with the maturity of emerging technologies such as 5G communications,edge computing,and autopilot,the Internet of Vehicles has become a research field that has attracted widespread attention.However,the location privacy of vehicles in the Internet of Vehicles may be threatened by various security risks.The adversary can infer the personal privacy of more vehicular users through the location privacy of the vehicles,which greatly hinders the large-scale popularization of the Internet of Vehicles.To improve the driving safety and experience of vehicular users,many applications using location-based services have emerged for the Internet of Vehicles.These applications can be divided into two categories:security applications and infotainment applications.When using the former,vehicles need to broadcast beacons to surrounding vehicles;when using the latter,they need to send a query request to the cloud server.Both the beacon and the query request include the location information of vehicles,which may reveal the location privacy of vehicles.In addition,these applications use cloud computing to improve service capabilities and user experience of applications.However,cloud computing will bring too high transmission delay and is not suitable for delay-sensitive applications.Edge computing expands computing and storage capabilities to edge nodes to provide nearby low-latency computing services.For this thesis proposes two location privacy protection schemes based on edge computing for the Internet of Vehicles:1)To solve the problem that location privacy leakage caused by vehicles broadcast the beacon,this thesis proposes a location privacy protection scheme of the Internet of Vehicles based on the Mix-zone concept.As a fixed edge node,the base station first dynamically generates a mix zone according to the road and network status in its coverage area,and then the vehicles in the mix zone change their pseudonyms at the same time,so that the adversary cannot associate the old and new pseudonyms of the vehicle,thereby protecting the location of the vehicle privacy.In addition,the scheme also uses base stations to aggregate and broadcast vehicular beacons to improve the driving safety of vehicular users in the mix zone.To prevent the message broadcast by the base station from being tampered with or forged by the adversary,the TESLA++protocol is used for broadcast authentication of the message.Performance evaluation shows that the scheme can effectively protect the location privacy of the vehicle.2)To solve the problem of location privacy leakage when vehicles use infotainment applications,this thesis proposes a location privacy protection scheme based on mobile edge nodes for the Internet of Vehicles.The bus is used as the mobile edge node,and the point of interest pool is obtained in advance from the cloud server according to the route lines of the bus.Then,the bus periodically selects part of the data from the point of interest pool according to its real-time location and broadcasts it to the surrounding private vehicles.Besides,the solution designs an incremental cache update strategy based on active push to reduce the communication overhead caused by cache updates.Performance evaluation shows that this scheme has higher location privacy protection and lower communication overhead than similar schemes.