一种基于概率的在线和审计方法

G. Canfora, B. Cavallo
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引用次数: 5

摘要

本文考虑对支持统计求和查询的数据库进行审计,以保护敏感信息的安全。研究了敏感信息域为离散集的特殊情况;特别地,我们关注布尔域。在连续属性的情况下,为统计数据库的安全性而开发的原则和技术在这里不适用。我们提供了一个在线和审计的概率框架,并证明了和查询可以通过贝叶斯网络进行审计。最后,我们对概率方法的有效性进行了初步分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Probabilistic Approach for On-Line Sum-Auditing
In this paper we consider the problem of auditing databases which support statistical sum-queries to protect the security of sensitive information. We study the special case in which the domain of the sensitive information is a discrete set; in particular, we focus on a boolean domain. Principles and techniques developed for the security of statistical databases in the case of continuous attributes do not apply here. We provide a probabilistic framework for the on-line sum-auditing and we show that sum-queries can be audited by means of a Bayesian network. Finally, we provide a preliminary analysis of the usefulness of the probabilistic approach.
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