Research And Implementation Of A Big Data Analysis System For Internet Of Vehicles Security Events

The Internet of Vehicles is a hot topic in the current era.This thesis divides the security events in the Internet of Vehicles into behavioral safe events and information security events.Meanwhile,this article focuses on the generation and processing flow of security events in the Internet of Vehicles.The system that handles the entire process is called As a big data analysis system for car networking security incidents.To introduce this system,this thesis will expand from the following five parts.Based on common design patterns,the framework of the security event monitoring system is built.While ensuring the scalability of security events,it can also be used for the collection and acquisition of security events,achieving the purpose of decoupling with other functional modules or systems.Based on the C/S service architecture,design and implement the car cloud interactive security middleware module,which can be used for the standardized transmission of specific data within the current car networking system to ensure that specific data is transmitted to the receiver in an appropriate size,encrypted,efficient and complete.At present,the specific data are mainly security event short message data and GPS short message data.Divide the Internet of Vehicles security event into 5 levels,and divide the drivers into five levels,and put forward the two concepts of HScore and Score.These concepts can deal with the level of car networking safety events and the level of driver safety by a quantification method.Designed and implemented a security incident work order system,which can display and promote the processing of security incidents.Finally,the system achieves the purpose of tracking,verifying,and handling security incidents.Based on the principle of clustering analysis,a process of clustering some attributes of the driver is designed and implemented,and this process can be used for driver attributes with unobvious boundaries,finally achieving the purpose of abstracting the driver.