PERFORM

 

Michael Rausch

University of Illinois
Coordinated Science Laboratory
1308 West Main Street
Urbana, IL 61801 USA
Fax: +1 (217) 244-1764
mjrausc2 at illinois.edu

 


Publications with the Performability Engineering Research Group

A Comparison of Different Intrusion Detection Approaches in an Advanced Metering Infrastructure Network Using ADVISE.
M. Rausch, B. Feddersen, K. Keefe, and W. H. Sanders. (16RAU01)
Proceedings of the 13th International Conference on Quantitative Evaluation of Systems (QEST 2016), Quebec City, Canada, August 23-25, 2016, Lecture Notes in Computer Science vol. 9826, Springer, pp. 279-294. [The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-43425-4_19]

Determining Cost-Effective Intrusion Detection Approaches for an Advanced Metering Infrastructure Deployment Using ADVISE.
M. J. Rausch. (16RAU02)
Master's Thesis, University of Illinois at Urbana-Champaign, 2016.

REMAX: Reachability-Maximizing P2P Detection of Erroneous Readings in Wireless Sensor Networks.
V. Badrinath Krishna, M. J. Rausch, B. E. Ujcich, I. Gupta, and W. H. Sanders. (16BAD01)
Proceedings of the 47th IEEE/IFIP International Conference on Dependable Systems and Networks, Denver, Colorado, June 26-29, 2017, to appear.

Automatically Generating Security Models from System Models to Aid in the Evaluation of AMI Deployment Options.
M. Rausch, K. Keefe, B. Feddersen, and W. H. Sanders. (17RAU01)
Submitted for publication.

Stochastic Cybersecurity Model Generation with the Möbius Ontology Framework.
K. Keefe, B. Feddersen, M. Rausch, R. Wright, and W. H. Sanders. (17KEE01)
Submitted for publication.

 


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