Research On Location Privacy Security Measurement Based On The Internet Of Vehicles

With the prosperity of the Internet of Vehicles(IoV)and information security industry,the IoV has been applied to all aspects of the field of intelligent transportation which is bringing great changes to the transportation environment.The IoV provides users with a variety of efficient services based on the in-vehicle network.The IoV also brings comfortable travel experiences to vehicle users and promote the growth of the automotive industry.However,Due to the high dynamics and openness of the IoV,system security,application security,network security,and other security issues,including the most obvious location privacy security issues which have become increasingly apparent in the IoV.How to ensure the location privacy of the IoV has become an urgent need for vehicle safety.In order to solve the problem that it is difficult to measure the privacy and security of the IoV location,the following work was done:(1)Through in-depth investigation and research,the concept and basic characteristics of IoV location privacy are summarized,and a comprehensive understanding of IoV location privacy is provided.This thesis summarizes the existing framework and its evaluation process,and discusses and proposes a framework for measuring the privacy of IoV location security,which is used to guide the measurement work.In this thesis,based on the principles and process of establishing the index system,first,the characteristics of the location privacy of IoV and the threats it faces are analyzed.Secondly,it summarizes and formalizes the requirements for the privacy and security of IoV locations.Finally,based on the above content,a privacy and security measurement index system for IoV location is created.(2)The location privacy security measurement model of IoV is proposed.This model has three processes.The first process is index data collection and processing,which is implemented using fuzzy mathematics theory.The second process is the calculation of index weights.The calculation of index weights is based on the entropy weight method and the analytic hierarchy process.The third process is comprehensive measurement,which is implemented with a double-layer fuzzy comprehensive evaluation method,and a location privacy security measurement model based on the IoV is designed.(3)This thesis proposes a privacy and security measurement method for IoV locations.First,According to the location information transfer process in the IoV,a general location privacy measurement model is proposed,which incorporates the background knowledge of the attacker.Secondly,the trusted safety distance dt of the vehicle user is defined.The gamma function is used to quantify the amount of location privacy leakage acceptable to the user,and the characteristics of the attacker are quantified using the characteristics of the Markov chain.Finally,the privacy area and non-privacy area are defined,and a location privacy security measurement method based on the IoV is proposed.(4)Experimental simulation of measurement models and methods.We use MATLAB tools for experimental simulations.The first security measurement model was simulated and implemented.Design and simulate the location privacy security measurement model system.The second measurement method is simulated.The experimental results verify the validity and correctness of the measurement method.