Ontology Guided XML Security Engine

CORRELATED DATA INFERENCE in ONTOLOGY GUIDED XML SECURITY ENGINE

In this paper we examine undesired inference attacks from distributed public XML documents. An undesired inference is a chain of reasoning that leads to protected data of an organization using only publicly available information. We propose a framework, the Ontology guided XML Security Engine (Oxsegin), and algorithms to detect and prevent undesired inference attacks. Oxsegin uses the Correlate...

CORRELATED DATA INFERENCE Ontology Guided XML Security Engine

In this paper we examine undesired inferences in distributed XML documents. An undesired inference is a chain of reasoning that leads to protected data of an organization or an individual, using only intentionally disclosed information. We propose a framework, called Ontology guided XML Security Engine (Oxsegin), to detect and prevent undesired inference attacks. Oxsegin uses the Correlated Inf...

XML Security

Ontology Integration in XML

We study the problem of automatically generating an integrated schema for XML DTDs. Introducing a novel view inference approach, we shows that the set of views and source descriptions can be automatically derived. Introduction The problem of information integration has become significant as the growing number of information sources on the Internet. Information integration systems provide users ...

ToX - the Toronto XML Engine

We present ToX – the Toronto XML Engine – a repository for XML data and metadata, which supports real and virtual XML documents. Real documents are stored as files or mapped into relational or object databases, depending on their structuredness; indices are defined according to the storage method used. Virtual documents can be remote documents, defined as arbitrary WebOQL queries, or views, def...