  Open Shortest Path First (OSPF) is one of the most widely used routing
protocol to manage intra-domain routing. OSPF has been identified with many
serious security issues. LSA falsification is one of the most critical
vulnerability that can cause route loop and black hole. Network operators need
to rapidly identity such anomalies. Network operators need also to identify
hardware failure. In this paper, we investigate the capability of Recurrence
Quantification Analysis (RQA), an advanced nonlinear statistical analysis
technique, to identify OSPF anomalies. We evaluate the capability of RQA to
identify OSPF anomalies using a controlled testbed where we introduced
different types of LSA falsifications as well as hardware failures. Our
evaluation shows that RQA can rapidly detect OSPF anomalies.
