Title :
Access control for big data using data content
Author :
Wenrong Zeng ; Yuhao Yang ; Bo Luo
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Univ. of Kansas, Lawrence, KS, USA
Abstract :
Conventional database access control models have difficulties in dealing with big data, especially for the features of volume, variety and velocity. To address the problem, we introduce the Content-based Access Control (CBAC) model for content-centric information sharing. As a complement to conventional models, CBAC makes access control decisions based on the content similarity between user credentials and data content dynamically. We present an enforcement mechanism for CBAC exploiting Oracle´s Virtual Private Database (VPD). Experimental results show that CBAC makes reasonable access control decision with a small overhead.
Keywords :
authorisation; content management; database management systems; Big data; CBAC model; Oracle Virtual Private Database; VPD; content similarity; content-based access control model; content-centric information sharing; data content; database access control models; enforcement mechanism; user credentials; Access control; Data handling; Data models; Data storage systems; Information management; Query processing;
Conference_Titel :
Big Data, 2013 IEEE International Conference on
Conference_Location :
Silicon Valley, CA
DOI :
10.1109/BigData.2013.6691798