AN ADAPTIVE MECHANISM OF DATA SCIENCE FOR BLOCKCHAIN AND CRYPTOCURRENCY APPLICATIONS
Maneesha Poluri
B.Tech, Dept of CSE, K L DEEMED TO BE UNIVERSITY , IN
Geeta Nalluru
B.Tech, Dept of CSE, K L DEEMED TO BE UNIVERSITY , IN
Keywords: Blockchain, Consensus, Security, Threats, IoT
Abstract
Today the cloud assumes a central job in storing, processing, and distributing data. Regardless of adding to the fast improvement of different applications, including the IoT, the current centralized capacity engineering has driven into a horde of segregated data storehouses and is keeping the maximum capacity of all encompassing data-driven examination for IoT data. In this conceptual, we advocate a data-driven outline for IoT with spotlight on flexibility, sharing, and auditable security of data. We present the underlying plan of our blockchain-based end-to-end scrambled data stockpiling framework. We empower a safe and diligent data administration, by using the blockchain as an auditable access control layer to a decentralized stockpiling layer.
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