期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2012
卷号：3
期号：2
页码：3638-3643
出版社：TechScience Publications
摘要：In a data distribution scenario the sensitive data given to agents can be leaked in some cases and can be found in unauthorized places. We consider the addition of fake objects to the distributed set which do not correspond to real entities but appear realistic to the agents. The distributor must assess the likelihood that the leaked data came from one or more agents, as opposed to having been independently gathered by other means. We also present data allocation strategies and algorithms for distributing objects to agents, in a way that improves our chances of identifying a leaker. Our main idea is to prevent the agents from comparing their data with others to identify fake objects. A Semantic Inference Model (SIM) is used here to find out the probability of identifying dependency among the data distributed to various agents. Using this technique semantic inference graph (SIG) is drawn denoting the links among data sets.
关键词：agent colluding; data inference; database security;guilty agent probabilityave
