Aim:

         The aim of this project is to propose a novel approach to create a cost-effective and searchable blackbox data storage system utilizing blockchain technology.

Abstract:

             A blackbox data can be used to identify the cause of an accident. And we may need to find blackbox videos recorded by the third party to accurately analyze the cause of the accident. One of the basic requirements of blackbox data is integrity, and this integrity can be provided by uploading the data to blockchains. Blackbox data plays a crucial role in accident analysis, providing insights into the causes of incidents. The need for third-party blackbox videos for accurate analysis is evident. Ensuring the integrity of blackbox data is a fundamental requirement, and leveraging blockchains for data storage can address this need. However, existing blackbox data storage systems face challenges related to cost and privacy. This situation renders the use of these platforms for uploading blackbox videos potentially expensive for users. Additionally, there is a privacy risk where sensitive information, such as driving routes, may be exposed through uploaded data. We suggest a cost-effective searchable blackbox data storage system with strong anonymity, i.e. unlinkability, using blockchains. In our scheme, the cost of registering a blackbox video is costtrn , where costtr is the cost necessary to upload a transaction to a blockchain and n is the number of uploading users at the same time.

Proposed System:

           Proposed a blockchain based architecture to enhance the security of a vehicle ecosystem and privacy of users. Each user has a storage that can store sensitive data such as driving information. To provide the integrity of the stored data, the hash of the data is also stored in the blockchain. We propose a searchable and unlikable blackbox data storage systems. In this system, we assume that each user who store blackbox data to the blockchain has added key verification part for before users and client for access any datas.

Advantage:          

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