AN ADAPTIVE MECHANISM OF DATA SCIENCE FOR BLOCKCHAIN AND CRYPTOCURRENCY APPLICATIONS

Authors

  • Maneesha Poluri B.Tech, Dept of CSE, K L DEEMED TO BE UNIVERSITY
  • Geeta Nalluru B.Tech, Dept of CSE, K L DEEMED TO BE UNIVERSITY

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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Published

2018-10-12

How to Cite

Poluri, M., & Nalluru, G. . (2018). AN ADAPTIVE MECHANISM OF DATA SCIENCE FOR BLOCKCHAIN AND CRYPTOCURRENCY APPLICATIONS. International Journal of Technical Innovation in Modern Engineering & Science, 4(10), 219–225. Retrieved from https://ijtimes.com/index.php/ijtimes/article/view/473