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PROJECT TITLE :

Cell based Raft Algorithm for Optimized Consensus Process on Blockchain in Smart Data Market

ABSTRACT:

Big Data is evolving into smart data as a result of the explosive growth in the number of Internet of Things devices and traffic. Smart data helps data science experts understand human activities by examining the relationship between users' mobility and the resource application they make in public spaces. For instance, smart data markets contribute to the prediction of crimes and the comprehension of the factors that lead to COVID-19 infections. Users of these intelligent services are required to consent to the privacy policy before providing any personally identifying or sensitive information to a third party for collection. However, the terms and conditions of the privacy policy do not specify whether or not it is possible to track the information of the users. Many different types of systems are implementing consortium or private blockchains with the raft algorithm in order to guarantee the transparency of data. In order to process a single transaction, nodes are required by the raft algorithm to check an extremely large number of messages. The overall performance of the system will eventually degrade as a result of the burden placed on the leader node when the number of nodes continues to grow. A method for processing the gathered transactions is proposed in this paper. The method involves dividing a predetermined number of transactions into cells and does not require any additional protocol. For the purpose of determining the optimal cell size in a Blockchain system that should lead to consensus on multiple servers, the proposed scheme makes use of the federated learning model, which boasts a high degree of accuracy and maintains the confidentiality of user data. As a result, the CBR (Cell-based Raft) consensus algorithm that has been proposed proposes a protocol that reduces the number of messages without interfering with the concept of the existing raft algorithm. This is done in order to maintain stable throughput in the smart data market, which is where massive transactions take place.


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