An efficient online auditing approach to limit private data disclosure
Haibing Lu, Yingjiu Li, Vijayalakshmi Atluri, Jaideep S. Vaidya · 2009
In a database system, disclosure of confidential private data may occur if users can put together the answers of past queries. Traditional access control mechanisms cannot guard against such breaches to private data. Online auditing techniques have been advanced to limit such disclosure of private data. Essentially, before answering any query, these techniques inspect the answers of the past queries to determine whether answering this query would compromise the stated data disclosure policies. While the primary requirement for online auditing is high efficiency, existing auditing approaches are expensive with respect to both computational time and space. Specifically, this cost is excessive in the general case of auditing arbitrary aggregate queries over real-valued confidential attributes with respect to interval-based privacy disclosure.