Data access control in data exchanging supporting big data arena

Abstract

A big data arena (BDA) is proposed to offer an effective trial-and-error environment for analysis algorithm design and application exploration through the provision of computational resources and intensive data. It is expected to innovate the theories and technologies of, e.g. management analytics, when a huge volume of data are shared in the BDA. How to provide an effective data protection mechanism, however, is one of the most serious challenges that the BDA faces. Motivated to resolve the above issues, this paper analyzes potential security threats that the data in the BDA face at four different processing stages, and puts forward effective access control mechanisms with their design and implementation, to resist the threats from different stages.

Keywords:

• Access control
• big data arena
• threat analysis

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This work was supported by the Shanghai Science and Technology Committee [16DZ1100200]; NSFC – National Natural Science Foundation of China [61572136, 61370080].