Title :
UPDATE Inferential Policy Security Control under Fine Granularity Access Control
Author :
Zhou Jincheng ; Zhang Minghui
Author_Institution :
Zhengzhou Normal Univ., Zhengzhou, China
Abstract :
Effectively controlling the related inferential problems existing in the database system under the fine granularity access control is an important policy to protect the security of information in the database. The information reveal caused by UPDATE operation inferential problems seriously affected the database system security. The paper firstly presented the hidden trouble of UPDATE operation inferential problems, and then analyzed the UPDATE inference, presented policy level security conditions that can make the UPDATE operation inferential problems in control, and presented the method to dynamically rewrite UPDATE policy that meets the policy security conditions.
Keywords :
authorisation; database management systems; UPDATE inferential policy security control; database system; fine granularity access control; information security; policy level security conditions; Access control; Database systems; Knowledge engineering; Presses; Remuneration; Data Inference; Dynamic Update; Fine Granularity; Security Policy; UPDATE Operation;
Conference_Titel :
Intelligent System Design and Engineering Application (ISDEA), 2012 Second International Conference on
Conference_Location :
Sanya, Hainan
Print_ISBN :
978-1-4577-2120-5
DOI :
10.1109/ISdea.2012.710
