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ORCIDCraig Rieger
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2020 – today
- 2024
[j13]Veronica Adetola
, Thomas Edgar, Sai Pushpak Nandanoori, Quanyan Zhu, Craig Rieger, Masoud Abbaszadeh:
Guest Editorial: Special section on Resilient Control of Cyber-Physical Power and Energy Systems. IEEE Trans. Control. Syst. Technol. 32(5): 1688-1691 (2024)- 2023
- [j12]Michael McCarty, Jay Johnson, Bryan Richardson, Craig Rieger, Rafer Cooley, Jake Gentle, Bradley Rothwell, Tyler Phillips, Beverly Novak, Megan Culler, Brian J. Wright:
Cybersecurity Resilience Demonstration for Wind Energy Sites in Co-Simulation Environment. IEEE Access 11: 15297-15313 (2023) - [j11]Tyler Phillips, Laurentiu D. Marinovici, Craig Rieger, Alice Orrell:
Scalable Resilience Analysis Through Power Systems Co-Simulation. IEEE Access 11: 18205-18214 (2023) - [j10]Victor Cobilean, Harindra S. Mavikumbure, Brady J. Mcbride, Bjorn Vaagensmith, Vivek Kumar Singh, Ruixuan Li, Craig Rieger, Milos Manic:
A Review of Visualization Methods for Cyber-Physical Security: Smart Grid Case Study. IEEE Access 11: 59788-59803 (2023) - [j9]Chathurika S. Wickramasinghe, Daniel L. Marino, Harindra S. Mavikumbure, Victor Cobilean, Timothy D. Pennington, Benny J. Varghese, Craig Rieger, Milos Manic:
RX-ADS: Interpretable Anomaly Detection Using Adversarial ML for Electric Vehicle CAN Data. IEEE Trans. Intell. Transp. Syst. 24(12): 14051-14063 (2023) - [c4]Harindra S. Mavikumbure, Victor Cobilean, Chathurika S. Wickramasinghe, Tyler Phillips, Benny J. Varghese, Barney Carlson, Craig Rieger, Timothy D. Pennington, Milos Manic:
Physical Anomaly Detection in EV Charging Stations: Physics-based vs ResNet AE. ISIE 2023: 1-7 - [i7]Kurt A. Vedros, Georgios Michail Makrakis, Constantinos Kolias, Robert C. Ivans, Craig Rieger:
Towards Scalable EM-based Anomaly Detection For Embedded Devices Through Synthetic Fingerprinting. CoRR abs/2302.02324 (2023) - 2022
- [i6]Daniel L. Marino, Chathurika S. Wickramasinghe, Craig Rieger, Milos Manic:
Self-Supervised and Interpretable Anomaly Detection using Network Transformers. CoRR abs/2202.12997 (2022) - [i5]Yuhan Zhao, Craig Rieger, Quanyan Zhu:
Multi-Agent Learning for Resilient Distributed Control Systems. CoRR abs/2208.05060 (2022) - [i4]Chathurika S. Wickramasinghe, Daniel L. Marino, Harindra S. Mavikumbure, Victor Cobilean, Timothy D. Pennington, Benny J. Varghese, Craig Rieger, Milos Manic:
RX-ADS: Interpretable Anomaly Detection using Adversarial ML for Electric Vehicle CAN data. CoRR abs/2209.02052 (2022) - [i3]Ekaterina Miller, Georgios Michail Makrakis, Kurt A. Vedros, Constantinos Kolias, Craig Rieger, Daniel Barbará:
Detecting Code Injections in Noisy Environments Through EM Signal Analysis and SVD Denoising. CoRR abs/2212.05643 (2022) - 2021
- [j8]Craig Rieger, Kevin M. Schultz, Thomas Carroll, Timothy McJunkin:
Resilient Control Systems - Basis, Benchmarking and Benefit. IEEE Access 9: 57565-57577 (2021) - [j7]Chathurika S. Wickramasinghe, Kasun Amarasinghe, Daniel L. Marino, Craig Rieger, Milos Manic:
Explainable Unsupervised Machine Learning for Cyber-Physical Systems. IEEE Access 9: 131824-131843 (2021) - [j6]Daniel L. Marino, Chathurika S. Wickramasinghe, Vivek Kumar Singh, Jake Gentle, Craig Rieger, Milos Manic:
The Virtualized Cyber-Physical Testbed for Machine Learning Anomaly Detection: A Wind Powered Grid Case Study. IEEE Access 9: 159475-159494 (2021) - [j5]Daniel L. Marino, Chathurika S. Wickramasinghe, Billy Tsouvalas, Craig Rieger, Milos Manic:
Data-Driven Correlation of Cyber and Physical Anomalies for Holistic System Health Monitoring. IEEE Access 9: 163138-163150 (2021) - [j4]Georgios Michail Makrakis, Constantinos Kolias, Georgios Kambourakis, Craig Rieger, Jacob Benjamin:
Industrial and Critical Infrastructure Security: Technical Analysis of Real-Life Security Incidents. IEEE Access 9: 165295-165325 (2021) - [i2]Georgios Michail Makrakis, Constantinos Kolias, Georgios Kambourakis, Craig Rieger, Jacob Benjamin:
Vulnerabilities and Attacks Against Industrial Control Systems and Critical Infrastructures. CoRR abs/2109.03945 (2021) - 2020
- [c3]Tyler Phillips, Timothy McJunkin, Craig Rieger, John Gardner, Hoda Mehrpouyan:
An Operational Resilience Metric for Modern Power Distribution Systems. QRS Companion 2020: 334-342 - [c2]Constantinos Kolias, Daniel Barbará, Craig Rieger, Jacob Ulrich:
EM Fingerprints: Towards Identifying Unauthorized Hardware Substitutions in the Supply Chain Jungle. SP (Workshops) 2020: 144-151
2010 – 2019
- 2019
- [j3]Alfonso Damiano, Craig Rieger, Valeriy Vyatkin, Milos Manic:
Resilience in Energy Industries - Recent Advances, Open Challenges, and Future Directions. IEEE Trans. Ind. Informatics 15(7): 4315-4318 (2019) - [c1]Daniel L. Marino, Chathurika S. Wickramasinghe, Craig Rieger, Milos Manic:
Data-driven Stochastic Anomaly Detection on Smart-Grid communications using Mixture Poisson Distributions. IECON 2019: 5855-5861 - [p1]Patrick Sivils, Craig Rieger, Kasun Amarasinghe, Milos Manic:
Integrated Cyber Physical Assessment and Response for Improved Resiliency. The Internet of Things for Smart Urban Ecosystems 2019: 51-74 - 2018
- [i1]Craig Rieger, Milos Manic:
On Critical Infrastructures, Their Security and Resilience - Trends and Vision. CoRR abs/1812.02710 (2018) - 2014
- [j2]Dumidu Wijayasekara, Ondrej Linda, Milos Manic, Craig Rieger:
FN-DFE: Fuzzy-Neural Data Fusion Engine for Enhanced Resilient State-Awareness of Hybrid Energy Systems. IEEE Trans. Cybern. 44(11): 2065-2075 (2014) - [j1]Dumidu Wijayasekara, Ondrej Linda, Milos Manic, Craig Rieger:
Mining Building Energy Management System Data Using Fuzzy Anomaly Detection and Linguistic Descriptions. IEEE Trans. Ind. Informatics 10(3): 1829-1840 (2014)
Coauthor Index
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