| Abstract: | —The data rapidly increases with time. To deal
massive data, or called big data, the idea of database as a service
has been proposed. Outsourced database provider offers a lot of
computing power and storage area. For organizations, they do
not need to build their own infrastructure. It can reduce the cost
of consumption. However, the data stored in the third-party
provider side, if the third party can not be trusted, sensitive data
within organization will have leaked crisis. In order to preserve
privacy in organization's database, a number of approaches for
preserving privacy have been proposed. Although the database
has many security problems should be addressed, such as
authentication, integrity, access control, and privacy. Also,
studies on database need to consider performance efficiently
when data updating. But there are huge problems so that we can
not address easily. Hence, this paper mainly discusses the
recently proposed approaches for preserving privacy only. We
classify and organize approaches, and also discuss these.
Approaches are divided into two categories, data encryption and
data fragmentation. We introduce in simple common approach,
give an illustration, and finally discuss challenges for each
approach respectively. In the approach of data encryption, we
introduce k-anonymity which is a mainstream solution. In data
fragmentation, we introduce clustering which is new idea
solution. Finally, we summarize these approaches for preserving
privacy and discuss research future works. |
