students walk on University of Idaho campus

Visit UI

Learn about the many reasons the University of Idaho could be a perfect fit for you. Schedule Your Visit

Parents on campus during orientation

Homecoming Oct. 1-7

Join other Vandal families for a week of celebration and Vandal traditions. View Calendar

campus full of students

UI Retirees Association

UIRA has a membership of nearly 500 from every part of the University. Learn More

Michael Haney, Ph.D.

Michael Haney, Ph.D.

Assistant Professor

Office

Center for Advanced Energy Studies 259

Phone

208-533-8209

Mailing Address

Center for Advanced Energy Studies
995 University Boulevard
Idaho Falls, ID 83401

  • Ph.D., Computer Science, University of Tulsa, 2015
  • M.S., Computer Science, University of Tulsa, 2013
  • B.S., Mathematics, University of Kentucky, 1998

Information Assurance including: Computer and Network Security, Forensics, Applied Cryptography; Critical Infrastructure Protection including: SCADA and industrial control system protocols for power, water and nuclear systems, resilient system design; Situation awareness and incident detection by IDS and honeypot systems.

Michael Haney is an assistant professor of Computer Science for the University of Idaho and a cybersecurity researcher for the Idaho National Laboratory. He received his master's and doctorate in computer science from the University of Tulsa in 2013 and 2015, respectively. He received a bachelor's in mathematics from the University of Kentucky in 1998. Currently, his research interests are in data visualization, specifically visualizing network and system log data to improve intrusion detection and response for large-scale networks. He studies cyber-security issues of energy assurance supporting a more resilient "smart" infrastructure. His focus here lies in honeypot research — creating systems that mimic real power generation systems, oil refineries or water treatment plants, and recording and studying the cyber-attacks against these systems.

  • Haney, Michael. “System, Method, and Apparatus for Computer Security Monitoring, Information Sharing, and Collective Intelligence.” U.S. Patent Application No. 62/031,023, filed July 30, 2014.
  • Hale, Matthew L., R. Gamble, J. Hale, M. Haney, J. Lin, and C. Walter, "Measuring the Potential for Victimization in Malicious Content," In Web Services (ICWS), 2015 IEEE International Conference On, pp. 305 - 312, IEEE, 2015.
  • Fellin, Conor, and Michael Haney, “Preventing Mistraining of Anomaly-Based IDSs through Ensemble Systems,” IEEE Services 2014, 2nd Cloud Security Auditing Workshop, June 2014.
  • Kong, Liang, Michael Haney, and Caroline Lindemuth, “Cyber Security Training: ANN as an Evaluator and Informant”, In Journal of the Colloquium for Information Systems Security Education, 2014.
  • Haney, Michael and Mauricio Papa, “A Framework for the Design and Deployment of a SCADA Honeynet”, Proceedings of the 9th Annual Cyber and Information Security Research Conference. pp. 121-124. ACM, 2014. – Received “Best Paper” award.
  • Louthan, George, Michael Haney, Phoebe Hardwicke, Peter Hawrylak, and John Hale, “Hybrid Extensions for Stateful Attack Graphs,” In Proceedings of the 9th Annual Cyber and Information Security Research Conference, pp. 101-104. ACM, 2014.
  • Hawrylak, Peter J., Chris Hartney, Michael Haney, Jonathan Hamm, & John Hale, “Techniques to Model and Derive a Cyber-Attacker’s Intelligence”, In Efficiency and Scalability Methods for Computational Intellect. Igelnik, Boris, and Jacek M. Zurada, editors. Information Science Reference, 2013.
  • Hawrylak, Peter J., Michael Haney, Mauricio Papa, and John Hale. "Using hybrid attack graphs to model cyber-physical attacks in the Smart Grid." In Resilient Control Systems (ISRCS), 2012 5th International Symposium on. IEEE, 2012.

Contact Us

Computer Science

Physical Address:
Janssen Engineering Building 236

Mailing Address:

Computer Science
University of Idaho
875 Perimeter Drive MS 1010
Moscow, ID 83844-1010

Phone: 208-885-6592

Fax: 208-885-9052

Email: csinfo@uidaho.edu

Web: Computer Science