Generation of test data for testing intrusion detection systems

Internet has information related to the generation of test data for testing IDS systems in assessing its efficiency. detection techniques are implemented based on finite state machines and descriptive languages for the systems in place. But there is no sufficient data available on how these systems are tested.

Following listing consists of the papers available in this area along with the amount of information it contains pertaining to test data generation and usage of test data generation tools if any.

- Nicholas J.Puketza, et al, "A methodology of testing intrusion detection systems", University of california

- Nicholas Athanasides, Randal Abler et al, "Intrusion Detection Testing and Benchmarking Methodologies", Georgia Institute of Technology, Proceedings of the First IEEE International workshop on Information assurance (IWIA '03)

- Ming Li and Wei Zhao, "A principle of a data synthesizer for Performance test of anti-DDOS Flood Attacks", International journal of computers, issue 3, volume 1, 2007

- Vidar Evenrud Seeberg, "Generation and use of test data sets in IDS testing", September 16, 2005

- John McHugh, "Testing Intrusion Detection Systems: A Critique of the 1998 and 1999 DARPA Intrusion Detection System Evaluations as Performed by Lincoln Laboratory"

- Darren Mutz et al, "An Experience Developing an IDS Simulator for the Black Box testing of Network Intrusion Detection Systems", Proceedings of the 19th Annual Computer Security Applications Conference (ACSAC 2003)

- Roy A. Maxion et al, "Benchmarking Anomaly-based detection systems", 2000 IEEE

- Emilie Lundin Barse et al, "Synthesizing Test Data for Fraud Detection Systems"

- R Sekar, A Gupta et al, "Specification based anomaly detection : A new approach for detecting network intrusions", CCS'02 November 18-22, 2002, Washington DC, USA, ACM