Reza Asgari, Ali Ahmadian Ramaki and Reza Ebrahimi Atani
Guilan University, Rasht, Iran

Using graphs for extracting data and presenting them gains more importance day by day within different scopes in order to detect structural and semantic patterns. One of the most significant scopes in this field is anomaly detection. This paper offers a framework for anomaly detection in information systems, especially in relational database systems, using ontology graph. In this paper, we first suggest a structure to present data with the help of ontology. Then we introduce our framework in order to detect anomalies in relational database systems. An example is put forward to prove the ability of the framework for anomaly detection.

Ontology graph, Anomaly, Relational database, Access control systems