| Issue |
ITM Web Conf.
Volume 17, 2018
4th Annual International Conference on Wireless Communication and Sensor Network (WCSN 2017)
|
|
|---|---|---|
| Article Number | 03028 | |
| Number of page(s) | 9 | |
| Section | Session 3: Smart City in Resource Management, Ecological and Environmental Data Processing | |
| DOI | https://doi.org/10.1051/itmconf/20181703028 | |
| Published online | 02 February 2018 | |
Data security and risk assessment in cloud computing
State Grid Zhejiang Electric Power Research Institute, Hangzhou, China
* Jing Li: 18606830186@163.com
Cloud computing has attracted more and more attention as it reduces the cost of IT infrastructure of organizations. In our country, business Cloud services, such as Alibaba Cloud, Huawei Cloud, QingCloud, UCloud and so on are gaining more and more uses, especially small or median organizations. In the cloud service scenario, the program and data are migrating into cloud, resulting the lack of trust between customers and cloud service providers. However, the recent study on Cloud computing is mainly focused on the service side, while the data security and trust have not been sufficiently studied yet. This paper investigates into the data security issues from data life cycle which includes five steps when an organization uses Cloud computing. A data management framework is given out, including not only the data classification but also the risk management framework. Concretely, the data is divided into two varieties, business and personal information. And then, four classification levels (high, medium, low, normal) according to the different extent of the potential adverse effect is introduced. With the help of classification, the administrators can identify the application or data to implement corresponding security controls. At last, the administrators conduct the risk assessment to alleviate the risk of data security. The trust between customers and cloud service providers will be strengthen through this way.
+86 13819177903, liqinyuan@zj.sgcc.com.cn
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).
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