Dr. Daniel Koranek, Assistant Professor

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Education

Ph.D., Computer Science, Air Force Institute of Technology, 2022
M.S., Cyber Operations, Air Force Institute of Technology, 2010
B.S., Computer Science, Cedarville University, 2008
 

Publications

Refereed Journal Publications

1. Koranek, D.F., Graham, S.R., Borghetti, B.J., Henry, W.C., “Identification of Return-Oriented Programming Attacks Using RISC-V Instruction Trace Data”, in IEEE Access, vol. 10, pp. 45347-45364, 2022
2. M. L. Santacroce, D. Koranek and R. Jha, "Detecting Malware Code as Video With Compressed, Time-Distributed Neural Networks," in IEEE Access, vol. 8, pp. 132748-132760, 2020, doi: 10.1109/ACCESS.2020.3010706.

Refereed Conference Publications

1. #Koranek, D.F., Hodson, D.D., Graham, S.R., “Zynq System-on-Chip DMA Messaging for Processor Monitoring”, 16th Intern’l Conf on Cyber Warfare and Security (ICCWS 2021), Cooksville, TN, Feb 2021
2. M. Santacroce, W. Stegner, D. Koranek and R. Jha, "A Foray Into Extracting Malicious Features from Executable Code with Neural Network Salience," 2019 IEEE National Aerospace and Electronics Conference (NAECON), Dayton, OH, USA, 2019, pp. 185-191, doi: 10.1109/NAECON46414.2019.9057859.
3. Santacroce, M., Koranek, D., & Jha, R. (2019). Detecting malicious assembly using convolutional, recurrent neural networks. Adv. Sci., Technol. Eng. Syst. J., 4(5), 46-52.
4. M. Santacroce, D. Koranek, D. Kapp, A. Ralescu and R. Jha, "Detecting Malicious Assembly with Deep Learning," NAECON 2018 - IEEE National Aerospace and Electronics Conference, Dayton, OH, USA, 2018, pp. 82-85, doi: 10.1109/NAECON.2018.8556657
5. J. T. McDonald, Y. C. Kim, D. J. Koranek and J. D. Parham, "Evaluating component hiding techniques in circuit topologies," 2012 IEEE International Conference on Communications (ICC), Ottawa, ON, Canada, 2012, pp. 1138-1143, doi: 10.1109/ICC.2012.6364542.
6. J. Todd McDonald, Yong Kim, and Daniel Koranek. 2011. Deterministic circuit variation for anti-tamper applications. In Proceedings of the Seventh Annual Workshop on Cyber Security and Information Intelligence Research (CSIIRW '11). Association for Computing Machinery, New York, NY, USA, Article 68, 1. https://doi.org/10.1145/2179298.2179376

  #  indicates “Best Paper/Presentation”