Atul Bohara

Former group member (Ph.D., 2020). Now with Network Perception.

Publications with the Performability Engineering Research Group

Intrusion Detection in Enterprise Systems by Combining and Clustering Diverse Monitor Data.
A. Bohara, U. Thakore, and W. H. Sanders. (16BOH01)
Proceedings of the Symposium and Bootcamp on the Science of Security (HotSoS), Pittsburgh, Pennsylvania, April 19-21, 2016, pp. 7-16. [ACM DOI: http://dx.doi.org/10.1145/2898375.2898400]

Lateral Movement Detection Using Distributed Data Fusion.
A. Fawaz, A. Bohara, C. Cheh, and W. H. Sanders. (16FAW02)
Proceedings of the 2016 IEEE 35th Symposium on Reliable Distributed Systems (SRDS), Budapest, Hungary, Sept. 26-29, 2016, pp. 21-30. [IEEE Xplore entry]

An Unsupervised Multi-Detector Approach for Identifying Malicious Lateral Movement.
A. Bohara, M. A. Noureddine, A. Fawaz, and W. H. Sanders. (17BOH01)
Proceedings of the 2017 IEEE 36th Symposium on Reliable Distributed Systems (SRDS 2017), Hong Kong, China, September 26-29, 2017, pp. 224-233. [IEEE Xplore entry]

G2: A Network Optimization Framework for High-Precision Analysis of Bottleneck and Flow Performance.
J. Ros-Giralt, S. Yellamraju, A. Bohara, R. Lethin, J. Li, Y. Lin, Y. Tan, M. Veeraraghavan, Y. Jiang, and L. Tassiulas.
Proceedings of 2019 IEEE/ACM Innovating the Network for Data-Intensive Science (INDIS), presented at SuperComputing 2019, Denver, CO, USA, November 17, 2019, pp. 48-60. [IEEE Xplore entry]  

On the Bottleneck Structure of Congestion-Controlled Networks.
J. Ros-Giralt, A. Bohara, S. Yellamraju, M. H. Langston, R. A. Lethin, Y. Jiang, L. Tassiulas, J. Li, Y. Tan, and M. Veeraraghavan.
Proceedings of the ACM on Measurement and Analysis of Computing Systems, vol. 3, no. 3, article no. 59, December 2019, pp. 1-31, ACM, New York, NY. [ACM: https://doi.org/10.1145/3366707]  

Information-fusion-based Methods to Improve the Detection of Advanced Cyber Threats.
A. Bohara. (20BOH02)
Ph.D. dissertation, University of Illinois at Urbana-Champaign, 2020.

Detection of DoS Attacks Using ARFIMA Modeling of GOOSE Communication in IEC 61850 Substations.
G. Elbez, H. B. Keller, A. Bohara, K. Nahrstedt, and V. Hagenmeyer.
Energies, vol. 13, no. 19, article 5176, October 2020. [Publisher’s site]

ED4GAP: Efficient Detection for GOOSE-Based Poisoning Attacks on IEC 61850 Substations.
A. Bohara, J. Ros-Giralt, G. Elbez, A. Valdes, K. Nahrstedt, and W. H. Sanders. (20BOH01)
Proceedings of the 2020 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm), online virtual conference, November 11-13, 2020, pp. 1-7. [IEEE Xplore entry]


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