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| Title | Advanced Analytics For Smart Farming In A Big Data Architecture Secured By Blockchain And Pbft |
|---|---|
| ID_Doc | 6476 |
| Authors | Quafiq E.M.; Chehri A.; Saadane R. |
| Year | 2023 |
| Published | Smart Innovation, Systems and Technologies, 359 SIST |
| DOI | http://dx.doi.org/10.1007/978-981-99-3424-9_2 |
| Abstract | In this paper, we adopted the strategy of utilizing Blockchain technology for data processing. This concept is implemented as a unique data structure tasked with keeping historical data on creative farm transactions. Using this security mechanism, users will be able to store sensitive data and share it with one another without the need for a centralized authority. From the standpoint of federated business intelligence analytics, the Blockchain is the technological engine of crypto city data or crypto farming data. Given that Big Data is the only source of all the useful information for the critical key performance indicators of intelligent farming data analytics, Big Data is the only source of truth. In this study, we also demonstrated how the Big Data Lake and Blockchain architectures may be integrated using the design of distributed systems. In addition, we determined how this design would be implemented in the real world and detailed the functional and technological components. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. |
| Author Keywords | Big Data · Blockchain; Data Analytics; Practical Byzantine Fault Tolerance pBFT; Smart Agriculture; Smart City |
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