The Model of Big Data Cloud Computing Based on Extended Subjective Logic
| Title | The Model of Big Data Cloud Computing Based on Extended Subjective Logic |
| Publication Type | Conference Paper |
| Year of Publication | 2020 |
| Authors | Hongyan, W., Zengliang, M., Yong, W., Enyu, Z. |
| Conference Name | 2020 IEEE International Conference on Power, Intelligent Computing and Systems (ICPICS) |
| Date Published | July 2020 |
| Publisher | IEEE |
| ISBN Number | 978-1-7281-9874-3 |
| Keywords | authentication, authentication technology, Big Data, big data security in the cloud, big data service, cloud, cloud computing, Computational modeling, Context modeling, Data models, pubcrawl, security, subjective logic |
| Abstract | This paper has firstly introduced big data services and cloud computing model based on different process forms, and analyzed the authentication technology and security services of the existing big data to understand their processing characteristics. Operation principles and complexity of the big data services and cloud computing have also been studied, and summary about their suitable environment and pros and cons have been made. Based on the Cloud Computing, the author has put forward the Model of Big Data Cloud Computing based on Extended Subjective Logic (MBDCC-ESL), which has introduced Jfsang's subjective logic to test the data credibility and expanded it to solve the problem of the trustworthiness of big data in the cloud computing environment. Simulation results show that the model works pretty well. |
| URL | https://ieeexplore.ieee.org/document/9202292 |
| DOI | 10.1109/ICPICS50287.2020.9202292 |
| Citation Key | hongyan_model_2020 |