Maj Richard Dill, Assistant Professor of Computer Engineering
Education
Ph.D., Computer Science, Air Force Institute of Technology, 2018
M.S., Computer Science, Air Force Institute of Technology, 2012
B.S., Computer Science, University of Maryland at College Park, 2004
Publications
Journal Publications (Key: * Denotes Student Author)
11. J. S. Thompson*, D. D. Hodson, M. R. Grimaila, N. Hanlon, and R. Dill, “Toward a simulation model complexity measure,” Information, vol. 14, no. 4, p. 202, March 2023, https://www.mdpi.com/2078-2489/14/4/202
10. A. T. Park*, N. Peck*, R. Dill, D. D. Hodson, M. R. Grimaila, and W. C. Henry, “Distribution of DDS-cerberus authenticated facial recognition streams,” The Journal of Supercomputing, vol. 79, no. 3, pp. 3471–3488, September 2022, https://doi.org/10.1007/s11227-022-04771-2
9. A. T. Park*, N. Peck*, R. Dill, D. D. Hodson, M. R. Grimaila, and W. C. Henry, “Quantifying DDS-cerberus network control overhead,” The Journal of Supercomputing, vol. 79, no. 4, pp. 3616–3642, September 2022, https://doi.org/10.1007/s11227-022-04770-3
8. S. Bolton*, R. Dill, M. R. Grimaila, and D. Hodson, “ADS-B classification using multivariate long short-term memory–fully convolutional networks and data reduction techniques,” The Journal of Supercomputing, vol. 79, no. 2, pp. 2281–2307, August 2022, https://doi.org/10.1007/s11227-022-04737-4
7. K. Basrawi*, R. Dill, B. Borghetti, G. Peterson, and J. Lopez, “Aircraft Identification from ADS-B Kinematic Data,” Journal of DoD Research & Engineering, vol. 5, no. 2, pp. 2–14, June 2022, CUI
6. D. N. Tryhorn*, R. Dill, D. D. Hodson, M. R. Grimaila, and C. M. Myers, “Applying fog Analysis Tool for AFSIM Multi-Domain CLASS Scenarios,” Journal of Information Warfare, vol. 21, no. 2, 2022, https://www.jinfowar.com/journal/volume-21-issue-2/applying-fog-analysis-tool-afsim-multi-domain-class-scenarios
5. B. Lin*, W. Henry, A. Keys, R. Dill, and R. Mills, “Analyzing Cyber Threats to Radio Frequency SATCOM Links From an Untrusted Source,” Journal of DoD Research & Engineering, vol. 6, no. 1, pp. 60–70, 2022, CUI
4. A. Bada*, P. Sweeney, S. Graham, and R. Dill, “Taint-Assisted Fuzzing for Emulated Avionics Systems,” Journal of DoD Research & Engineering, vol. 5, no. 4, pp. 1–14, 2022, CUI
3. D. Tryhorn*, R. Dill, D. D. Hodson, M. R. Grimaila, and C. W. Myers, “Modeling fog of war effects in AFSIM,” The Journal of Defense Modeling and Simulation, vol. 20, no. 2, pp. 131–146, August 2021, https://doi.org/10.1177/15485129211041963
2. W. T. DeBerry*, R. Dill, K. Hopkinson, D. D. Hodson, and M. R. Grimaila, “The Wargame Commodity Course of Action Automated Analysis Method,” The Journal of Defense Modeling and Simulation, vol. 0, no. 0, July 2021, https://doi.org/10.1177/15485129211028318
1. J. Hannah, R. Mills*, R. Dill, and D. Hodson, “Traffic Collision Avoidance System: False Injection Viability,” Journal of Supercomputing, vol. 77, pp. 12 666–12 689, April 2021, https://doi.org/10.1007/s11227-021-03766-9
Conference Publications (Key: * Denotes Student Author)
28. S. Bolton*, R. Dill, M. R. Grimaila, and D. D. Hodson, “Aircraft Classification Using Flight Phase Identification,” in 2023 IEEE National Aerospace and Electronics Conference (NAECON), Fairborn, OH, USA, August 2023
27. R. D. Winz*, D. D. Hodson, R. Dill, and M. R. Grimaila, “Distributed Interactive Simulation Prototyping with Mininet,” in The 2023 World Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE), Las Vegas, NV, USA, July 2023
26. A. C. Brunson*, R. Dill, B. J. Borghetti, and D. D. Hodson, “Drone Range Detection Using Extracted Mel Frequency Cepstral Coefficients with Logistic Regression and Support Vector Machines,” in The 2023 World Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE), Las Vegas, NV, USA, July 2023
25. R. D. Clendening*, R. Dill, B. J. Borghetti, B. Smolenski, D. Haddad, and D. D. Hodson, “Cellphone-based sUAS Range Estimation: A Deep Learning Approach,” in The 2023 World Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE), Las Vegas, NV, USA, July 2023
24. S. Bolton*, R. Dill, M. R. Grimaila, and D. D. Hodson, “Multi-Sensor Aircraft Classification,” in The 2023 World Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE), Las Vegas, NV, USA, July 2023
23. P. Albury*, R. Dill, and D. Hodson, “Using Arduino-based Sensors to Detect sUAS Activity,” in The 2023 World Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE), Las Vegas, NV, USA, July 2023
22. J. Price*, R. Dill, S. Dunlap, and M. Rice, “Joint Test Action Group Data Acquisition for Cyber-Physical System Security,” in 2022 International Conference on Smart Systems and Technologies (SST). Osijek, Croatia: IEEE, 2022, pp. 179–186, https://doi.org/10.1109/SST55530.2022.9954826
21. K. Harris*, W. Henry, and R. Dill, “A Network-based IoT Covert Channel,” in 2022 4th International Conference on Computer Communication and the Internet (ICCCI). IEEE, 2022, pp. 91–99, https://doi.org/10.1109/ICCCI55554.2022.9850247
20. J. Sidhu*, R. Dill, W. Henry, and D. D. Hodson, “Integrating Data Distribution Service (DDS)-Cerberus into Cyclone,” in The 2022 World Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE), Las Vegas, NV, USA, July 2022
19. B. Lin*, C. C. Heny, and R. Dill, “Defending Small Satellites from Malicious Cybersecurity Threats,” in The 17th International Conference on Cyber Warfare and Security, Albany, NY, USA, March 2022, https://doi.org/10.34190/iccws.17.1.60
18. C. Voltz*, M. Reith, D. Long, and R. Dill, “Improving Joint All Domain Operations (JADO) Education,” in 16th International Conference on Cyber Warfare and Security (ICCWS), 2021
17. N. W. Scott*, D. D. Hodson, R. Dill, and M. R. Grimaila, “A Data Oriented ECS-Based Design to Send DIS Packets,” in 2021 International Conference on Computational Science and Computational Intelligence (CSCI), Las Vegas, NV, USA, 2021
16. N. W. Scott*, D. D. Hodson, R. Dill, and M. R. Grimaila, “Prediction and Convergence Calculations using Rust-based NAlgebra GLM,” in 2021 International Conference on Computational Science and Computational Intelligence (CSCI). Las Vegas, NV, USA: IEEE, 2022, https://doi.org/10.1109/CSCI54926.2021.00340
15. N. Peck*, D. D. Hodson, R. Dill, and D. D. Grimaila, Michael R, “Quantifying DDS Network Overhead,” in 2021 International Conference on Computational Science and Computational Intelligence (CSCI), Las Vegas, NV, USA, 2021
14. N. Peck*, D. D. Hodson, R. Dill, and D. D. Grimaila, Michael R, “AFSIM’s Entry into Aircraft Hardware in the Loop,” in 2021 International Conference on Computational Science and Computational Intelligence (CSCI), Las Vegas, NV, USA, 2021
13. A. T. Park*, R. Dill, D. D. Hodson, and H. C. Wayne, “DDS-Cerberus: Ticketing Performance Experiments and Analysis,” in 2021 International Conference on Computational Science and Computational Intelligence (CSCI). Las Vegas, NV, USA: IEEE, 2021, pp. 1465–1469, https://doi.org/10.1109/CSCI54926.2021.00044
12. A. T. Park*, R. Dill, D. D. Hodson, and H. C. Wayne, “DDS-Cerberus: Data Distribution via Ticketing,” in 2021 World Congress in Computer Science, Computer Engineering, and Applied Computing (CSCE 2021), Las Vegas, NV, USA, 2021
11. B. Compton*, D. D. Hodson, R. Dill, and M. R. Grimaila, “Comparison of Archetypal Entity-Component Systems and Relational Databases,” in 2021 World Congress in Computer Science, Computer Engineering, and Applied Computing (CSCE 2021), Las Vegas, NV, USA, 2021
10. N. Scott*, D. D. Hodson, R. Dill, and M. R. Grimaila, “A Data Oriented ECS-Based Design to Send DIS Packets,” in 2021 World Congress in Computer Science, Computer Engineering, and Applied Computing (CSCE 2021), Las Vegas, NV, USA, 2021
9. K. Basrawi* and R. Dill, “Reverse Engineering the Soli Radar API for Military Applications,” in 2021 IEEE Radar Conference (RadarConf21). Atlanta, GA, USA: IEEE, June 2021, https://doi.org/10.1109/RadarConf2147009.2021.9455321
8. S. L. Long*, R. Dill, and B. E. Mullins, “Security Analysis of a Medical IoT Device: Data Leakage to an Eavesdropper,” in 54th Hawaii International Conference on System Sciences, Honolulu, HI, USA, 2021, http://hdl.handle.net/10125/71448
7. N. W. Scott*, D. D. Hodson, R. Dill, and M. R. Grimaila, “Using Serde to Serialize and Deserialize DIS PDUs,” in 2020 International Conference on Computational Science and Computational Intelligence (CSCI). , Las Vegas, NV, USA: IEEE, 2020, pp. 1425–1428, https://doi.org/10.1109/CSCI51800.2020.00266
6. B. T. Garland*, D. D. Hodson, S. L. Nykl, R. Dill, and M. R. Grimaila, “A Framework for Modeling a Real-Time Radar System,” in 2020 International Conference on Computational Science and Computational Intelligence (CSCI). Las Vegas, NV, USA: IEEE, 2020, pp. 1429–1432, https://doi.org/10.1109/CSCI51800.2020.00267
5. N. W. Flack*, C. Voltz, R. Dill, A. Lin, and M. G. Reith, “Leveraging Serious Games in Air Force Multi-Domain Operations Education: A Pilot Study,” in 15th International Conference on Cyber Warfare & Security (ICCWS), Norfolk, VA, USA, March 2020
4. J. Hannah*, R. Mills, and R. Dill, “Traffic Collision Avoidance System: Threat Actor Model and Attack Taxonomy,” in 2020 New Trends in Civil Aviation (NTCA). IEEE, 2020, pp. 17–26, https://doi.org/10.23919/NTCA50409.2020.9291180
3. J. Orner*, R. Dill, and G. Noel, “PROF 2.0: Improving a Methodology for Topic Map and Skill Tree Creation,” in 2019 IEEE International Symposium on Multimedia (ISM). San Diego, CA, USA: IEEE, 2019, pp. 297–2975, https://doi.org/10.1109/ISM46123.2019.00066
2. J. Orner* and R. Dill, “PROF: An assistive tool for educators to semi-autonomously create topic maps and skill trees,” in Proceedings of the 20th Annual SIG Conference on Information Technology Education, ser. SIGITE ’19. Association for Computing Machinery, 2019, p. 141, https://doi.org/10.1145/3349266.3351366
1. C. Dukarm*, R. Dill, and M. G. Reith, “Improving phishing awareness in the united states department of defense,” in European Conference on Cyber Warfare & Security, 2019