Study on the Technology of Network Data Mining Based on Cloud Computing
- DOI
- 10.2991/iccse-15.2015.57How to use a DOI?
- Keywords
- Data mining techniques; Crowdsourcing; Technology of network; Internet of things; Cloud computing
- Abstract
There are several things from the fusion of fusion technology. Therefore, in the cloud, things can be called a new paradigm. With computer operations, generalized computing, and related technologies more closely interdependent, a system has been formed. This system is a world of things. More and more people are now beginning to enjoy the presence of two worlds: the real world and the digital world, more and more people like this new way of life. In between these two worlds is constantly symbiotic interaction. Under the cloud storage conditions, one thing appears particularly important. It is to protect online users such as user name and password. Mining Association classification data has proven to be a clever way. This method seems to be effective in detecting phishing sites precision and handling potentially dangerous. It is also the solution to the problem of insecurity. In this paper, first part in the cloud storage conditions, we introduce the relationship between the data mining and the internet of things. Then, we study the potential solutions. In the end, this paper presents findings: this paper presenting the solution is an effective way to protect the user's information security.
- Copyright
- © 2015, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Xiao-duan Wang AU - Li Wang AU - Zhen-tao Ni PY - 2015/07 DA - 2015/07 TI - Study on the Technology of Network Data Mining Based on Cloud Computing BT - Proceedings of the 2015 International Conference on Computational Science and Engineering PB - Atlantis Press SP - 312 EP - 316 SN - 2352-538X UR - https://doi.org/10.2991/iccse-15.2015.57 DO - 10.2991/iccse-15.2015.57 ID - Wang2015/07 ER -