Blockchain-Based Dashcam Video Management Method for Data Sharing and Integrity in V2V Network

• Published in: IEEE access Vol. 10; pp. 3307 - 3319
• Main Authors: Na, Dongjun, Park, Sejin
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 2022; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Access control; Accident detection; Accidents; Blockchain; Blockchains; Control methods; Crime; Crime prevention; Cryptography; Dashboards; Dashcam; Data loss; Data management; Data retrieval; Forgery; Global Positioning System; Global positioning systems; GPS; hadoop distributed file system; multi signature; oracle; Privacy; Reliability; Servers; Storage; Traffic accidents; Transaction processing; vehicle to vehicle; Video data
• ISSN: 2169-3536; 2169-3536
• DOI: 10.1109/ACCESS.2022.3140419

A dashboard camera (Dashcam) is attached to the front or rear of a vehicle to record images and video. As it is effective in crime prevention and accident management and it can also be used as learning data for Traffic Accident Detection technology for Autonomous Vehicles the use of Dashcam is increasing. However, the video data is stored on a memory card or a cloud server, so there is a high possibility of data loss and forgery. Although it is possible to prevent forgery and falsification using distributed storage based on blockchain technology, the authenticity and privacy of the image data stored in the blockchain cannot be guaranteed. In this study, to solve this problem, we propose a multi-signature-based access control method by grouping and storing video data of multiple vehicles based on GPS (Global Positioning System) data. To ensure the privacy of the video data stored in the blockchain, only users uploading video belonging to the relevant GPS can access nearby Dashcam videos. Through these experimental results, it show that Experimental results proposed method can maintain low latency in large-scale request environment to the privacy and reach data management efficiently in a distributed file system. According to our experiments, the dashcam video data distributed storage latency was fast enough, with an average of 25 ms for uploads and less than 15 ms for downloads. The signature generation time is 10ms, and the verification time required for access control is also less than 100 ms, which is the same even if the number of nodes increases, so scalability is not affected. The blockchain transaction processing took about 2 seconds, but it does not affect the V2V network. Also, client registration time does not affect performance.