| Title |
IoT Driven with Big Data Analytics and Block Chain Application Scenarios |
| ID_Doc |
44746 |
| Authors |
Manjunath, P; Prakruthi, MK; Shah, PG |
| Title |
IoT Driven with Big Data Analytics and Block Chain Application Scenarios |
| Year |
2018 |
| Published |
|
| DOI |
|
| Abstract |
The Big Data, Block chain and the Internet of Things (IoT) are the key names in the technology development of these eras. There are undoubtedly differences between the three technologies, but there are also firm relationships that increase the system operations, practicability, and adoptability. As the domain Block chain and the Internet of Things GPI) are just infant domain and, still it's undergoing more and further development events, and the Internet of Things(IoT) is producing a larger set of the data and adopted across the different industries such as healthcare, smart cities development, retail, banking and public administration and real time application forecasting, the well-analyzed data is tremendously valuable the Big Data Analytics will suffice this needs, and on the other side the Block chain will provide more secured transaction of the data, and it provides contracts, and more other applications plus integration and Big Data Analytics can be integrated on top of it. In this paper will focus on the incorporation of the all three technologies or domain, such as Big Data Analytics, Block chain and the Internet of Things (IoT). We concluded that all the three technology Big Data Analytics, Block chain and the Internet of Things (IoT) would play a vital role in resolving each other constraints. Based on our analysis and case studies it will help for future work research. |
| Author Keywords |
Big Data Analytics; Block Chain; IoT architectures; IoT-Smart City; Security |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000483465600097 |
| WoS Category |
Computer Science, Theory & Methods; Green & Sustainable Science & Technology |
| Research Area |
Computer Science; Science & Technology - Other Topics |
| PDF |
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