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Design And Implementation Of A Connected Vehicle Privacy Leak Detection System

Posted on:2021-05-03Degree:MasterType:Thesis
Country:ChinaCandidate:Q Q JiangFull Text:PDF
GTID:2392330632462702Subject:Computer technology
Abstract/Summary:PDF Full Text Request
With the development of information technology and the Internet of Things,the traditional automotive industry is gradually moving towards informatization and interconnectedness.While the Internet of Vehicles technology makes it easier and smarter for current car travel,it also brings a lot of hidden dangers.The collection of information about connected vehicle terminals is an indispensable part of the connected vehicle industry.The collection of personal information in China needs to follow the three principles of "informed consent","minimum necessary",and "limited purpose".There may be situations where a large amount of information is over-collected,which endangers the personal information security of car owners and passengers.Therefore,there is an urgent need to conduct relevant research on the privacy leakage of the Internet of Vehicles,detect whether the communication data between connected vehicles and servers contains privacy data,and then discover and rectify the Internet of Vehicles service platform that excessively collects user data.Aiming at this problem,this paper studies the key problems faced in the detection of privacy information leakage of the connected vehicle:it is difficult to collect data of the connected vehicle,it is difficult to detect the content of the HTTPS data of the connected vehicle,and it is difficult to detect the content of unknown binary protocol messages.It also proposed solutions to these problems:Use SDR technology to build a GSM analog base station to solve the problem of difficult data collection for connected vehicles;combining SSLstrip and SSLsplit to decrypt HTTPS data;on the detection of unknown binary protocol content,A method of variable-length field mining combined with fixed-length field boundary segmentation is proposed to segment the protocol,and the KNN algorithm combined with the result verification is used to perform semantic judgment on the segmented field to complete the content detection of unknown binary protocol messages.Finally,this article designs and implements a connected vehicle privacy leak detection system in accordance with the above scheme,tests and analyzes the system’s detection capability and detection accuracy rate,which verifies the feasibility of the system in the connected vehicle privacy leak detection and the superiority in processing the unknown binary protocol in car networking.
Keywords/Search Tags:connected vehicle, privacy leak detection, https, binary protocol
PDF Full Text Request
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