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:]

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:]  

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]

COPYRIGHT NOTICES: The above electronic files are presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author’s copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

The following copyright notice applies to all of the above items that appear in IEEE publications: “Personal use of this material is permitted. However, permission to reprint/publish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from IEEE.”

With respect to items published by the ACM: Items are © by the authors listed and by the ACM, in the year listed on each item. The files posted here are the authors’ versions of the work. They are posted here for your personal use and are not for redistribution. The definitive Version of Record was published as indicated in the bibliographic citations provided, and is available from the ACM Digital Library from the ACM Digital Object Identifier listed for each publication.