Trusted Database using Decentralized Technique with Credibility and Gas Fee Optimization. Case study: OnlineProduct Review System

Abstract

Currently, the majority of systems use centralized databases for storing data, allowing for quick and systematic access to information. However, a centralized database system can potentially be manipulated to alter facts for business gains, resulting in received data being inaccurate and not reflecting the truth. This can result in a lack of trust in the system among users. Blockchain technology emerged to address trust issues. Blockchain is a decentralized database system, enhancing security in its use. Data recorded in a block is encrypted and linked to the previous block, making it time-consuming and almost practically impossible to alter or tamper with information. However, the complexity of recording and retrieving data in a blockchain necessitates relatively high transaction fees. In this research, a system for evaluating online product reviews is proposed as a case study. The system utilizes a centralized database integrated with blockchain technology. This allows users to verify the content of reviews when the data enters the system. Additionally, a method for ensuring the completeness and accuracy of data in the centralized database is presented. The data storage in the blockchain is optimized for efficiency, using techniques Hash per period and Hash per transactions. Furthermore, a partial data backup design in the blockchain is suggested to be used in the worst case. The results show a reduction in gas fees for recording data in the blockchain. The system is capable of verifying the accuracy of the centralized database, retrieving partial information, and incurring reasonable fees for data backup.????????????????????????????????????????????????????????????? ???????????????????????????????????????????????? ????????????????????????????????????????????????????????????????????????????????????????? ???????????????????????????????????????? ????????????????????? ?????????????????????????????????? ?????????????????????????????? ??????????????????????????????????? ??????????????????????????????????? ?????????????????????????????????????? ?????????????????????????????????????????????????????????????? ???????????????????????????????????????????????????????????????????? ??????????????????????????????????????????????????????????????????????????????????????????????????????? ????????????????????????????????????????????????????????? ????????????????????????????????????????????????????? ?????????????????????????????????????????????????????????????????????? ??????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????? ?????????????????????????? (Hash per period) ????????????????????? (Hash per transactions) ????????????????????????????????????????????????????????????? ???????????????????????????????????????????? ???????????????????????????????????????????????????????????? ??????????????????????????????????????????????????? ?????????????????????????????????????????????????????????????????