Publications

You can also find my articles on my Google Scholar profile.

2024

• Ameer Shakayb Arsalaan, Mah-Rukh Fida, Hung X Nguyen. UAVs Relay in Emergency Communications with Strict Requirements on Quality of Information. To appear in IEEE Transactions on Vehicular Technology. CORE A*
• N Nguyen, D Nguyen, G Rizzo, H Nguyen(2024). United We Stand: Decentralized Multi-Agent Planning With Attrition. Proceedings of the 27TH EUROPEAN CONFERENCE ON ARTIFICIAL INTELLIGENCE. 19-24 October 2024. Santiago de Compostela CORE A
• Zhang, Y., Ward, M., & Nguyen, H. (2024). Practical Anytime Algorithms for Judicious Partitioning of Active Directory Attack Graphs. Proceedings of the 33rd International Joint Conference on Artificial Intelligence (IJCAI 2024). August 3-9th, 2024, Jeju, South Korea. CORE A*
• NL Nguyen, N Falkner, H Nguyen (2024). Synthesizing Realistic Enterprise Active Directory Attack Graphs with ADSynth. Proceedings of the ACM SIGCOMM 2024 Conference: Posters and Demos. August 04 2024, Sydney, Australia, pp. 107-109 CORE A*
• N Nguyen, D Nguyen, J Kim, G Rizzo, H Nguyen(2024). Decentralized Coordination for Multi-Agent Data Collection in Dynamic Environments. IEEE Transactions on Mobile Computing. 2024 CORE A*
• Ngo, Q. H, Guo. M.,Nguyen, H., ( (2024). Catch Me if You Can: Effective Honeypot Placement in Dynamic AD Attack Graphs. Proceedings of the IEEE International Conference on Computer Communications (Infocom). CORE A*
• Guo, M., Li, J., Neumann, A., Neumann F. Nguyen, H., (2024). Limited Query Graph Connectivity Test. Proceedings of the AAAI Conference on Artificial Intelligence, 38(18), 20718-20725. https://doi.org/10.1609/aaai.v38i18.30059 CORE A*
• Lang white, Duong Nguyen, Hung Nguyen (2024). Satisfaction and Regret in Stackelberg Games. 15th Workshop on Optimization and Learning in Multiagent Systems (AAMAS 2024 workshop).
• Nhu Long Do, Nick Falkner, Hung NGuyen (2024). ADSynth: Synthesizing Realistic Active Directory Graphs. Proceedings of the 54th Annual IEEE/IFIP International Conference on Dependable Systems and Networks. Brisbane, Australia, June 24-27, 2024. CORE A
• Ngo, Q. H, Guo. M.,Nguyen, H., ( (2024). Optimizing Cyber Response Time on Temporal Active Directory Networks Using Decoys. Proceedings of the Genetic and Evolutionary Computation Conference (GECCO). CORE A
• Dinani, M.; Holzer, A.; Nguyen, H.; Marsan, M.; Rizzo, G. (2024).Context-Aware Orchestration of Energy-Efficient Gossip Learning Schemes. Proceedings of the 5th IEEE World AI IoT Congress 2024. Seattle USA 29-31 May 2024
• Diksha Goel, Max Ward, Aneta Neumann, Frank Neumann, Hung Nguyen, Mingyu Guo (2024). Hardening Active Directory Graphs via Evolutionary Diversity Optimization based Policies. ACM Transactions on Evolutionary Learning. DOI: https://doi.org/10.1145/368840

2023

• Ngo, Q. H, Guo. M.,Nguyen, H., (2023). Catch Me if You Can: Effective Honeypot Placement in Dynamic AD Attack Graphs. To appear in Proceedings of the IEEE International Conference on Computer Communications (Infocom) 2024 [Accepted 01 December 2023]. CORE A*
• Nguyen L., Nguyen D., Nguyen H., Ngo, D., Wagner M., (2023). Multi-Agent Task Assignment in Vehicular Edge Computing: A Regret-Matching Learning-Based Approach. IEEE Transactions on Emerging Topics in Computational Intelligence, DOI: 10.1109/TETCI.2023.3339540.
• Dinani, M.; Holzer, A.; Nguyen, H.; Marsan, M.; Rizzo, G.. A Gossip Learning Approach to Urban Trajectory Nowcasting for Anticipatory RAN Management. IEEE Transactions on Mobile Computing, September 2023. CORE A*
• Chowdhury, A., Nguyen, H., CoZure: Context Free Grammar Co-Pilot Tool for Finding New Lateral Movements in Azure Active Directory, Procs. of the 26th International Symposium on Research in Attacks, Intrusions and Defenses (RAID 2023), October 2023, Hong Kong. CORE A
• Phu, A. T., Li, B., Ullah, F., Huque, T. U., Naha, R., Babar, M. A., & Nguyen, H. (2023). Defending SDN against packet injection attacks using deep learning. Computer Networks, 109935. CORE A
• Chowdhury, A., Nguyen, H., Ashenden, D., & Pogrebna, G. (2023). POSTER: A Teacher-Student with Human Feedback Model for Human-AI Collaboration in Cybersecurity. Proceedings of the 2023 ACM Asia Conference on Computer and Communications Security, 1040–1042. CORE A
• Zhang, Y., Ward, M., Guo, M., & Nguyen, H. (2023). A Scalable Double Oracle Algorithm for Hardening Large Active Directory Systems. Proceedings of the 2023 ACM Asia Conference on Computer and Communications Security, 993–1003. CORE A
• Goel, D., Neumann, A., Neumann, F., Nguyen, H., & Guo, M. (2023). Evolving Reinforcement Learning Environment to Minimize Learner’s Achievable Reward: An Application on Hardening Active Directory Systems. Proceedings of the Genetic and Evolutionary Computation Conference (GECCO). CORE A
• Guo, M., Ward, M., Neumann, A., Neumann, F., & Nguyen, H. (2023). Scalable edge blocking algorithms for defending active directory style attack graphs. Proceedings of the AAAI Conference on Artificial Intelligence, 37, 5649–5656. CORE A*
• Nguyen, D., White, L., & Nguyen, H. (2023a). Bayesian Rationality in Satisfaction Games. Proceedings of the OptLearnMAS-23 Workshop.
• Nguyen, D., White, L., & Nguyen, H. (2023b). Social Optimum Equilibrium Selection for Distributed Multi-Agent Optimization. The 5th Games, Agents, and Incentives Workshop (GAIW 2023).
• Ngo, H. Q., Guo, M., & Nguyen, H. (2023). Near Optimal Strategies for Honeypots Placement in Dynamic and Large Active Directory Networks. Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2517–2519. CORE A*

2022

• Guo, M., Li, J., Neumann, A., Neumann, F., & Nguyen, H. (2022). Practical fixed-parameter algorithms for defending active directory style attack graphs. Proceedings of the AAAI Conference on Artificial Intelligence, 36, 9360–9367. CORE A*
• Goel, D., Ward-Graham, M. H., Neumann, A., Neumann, F., Nguyen, H., & Guo, M. (2022). Defending active directory by combining neural network based dynamic program and evolutionary diversity optimisation. Proceedings of the Genetic and Evolutionary Computation Conference, 1191–1199. CORE A
• Nguyen, B. L., Nguyen, D. D., Nguyen, H. X., & Ngo, D. T. (2022). Regret-Matching Learning-Based Task Assignment in Vehicular Edge Computing. CoRR.
• Dinani, M. A., Holzer, A., Nguyen, H., Marsan, M. A., & Rizzo, G. (2022). Vehicle Position Nowcasting with Gossip Learning. 2022 IEEE Wireless Communications and Networking Conference (WCNC), 728–733. IEEE.
• Nguyen, N., Nguyen, D., Kim, J., Rizzo, G., & Nguyen, H. (2022). Multi-Agent Data Collection in Non-Stationary Environments. 2022 IEEE 23rd International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM), 120–129. IEEE. CORE A
• Nguyen, V., Le, T., Tantithamthavorn, C., Grundy, J., Nguyen, H., & Phung, D. (2022b). Cross Project Software Vulnerability Detection via Domain Adaptation and Max-Margin Principle. arXiv Preprint arXiv:2209. 10406.
• Nguyen, V., Le, T., Tantithamthavorn, C., Grundy, J., Nguyen, H., Camtepe, S., … Phung, D. (2022a). An Information-Theoretic and Contrastive Learning-based Approach for Identifying Code Statements Causing Software Vulnerability. arXiv Preprint arXiv:2209. 10414.

2021

• Dinani, M. A., Holzer, A., Nguyen, H., Marsan, M. A., & Rizzo, G. (2021). Gossip Learning of Personalized Models for Vehicle Trajectory Prediction. IEEE Wireless Communications and Networking Conference.
• Arsalaan, A. S., Nguyen, H., & Fida, M. (2021). Impact of Bushfire Dynamics on the Performance of MANETs. 16th IEEE/IFIP Wireless On-Demand Network Systems and Services Conference (WONS), 55–58.
• Ward, M., Datta, A., Nguyen, H. X., & Eshraghian, J. K. (2021). Efficient Network Analysis Under Link Deletion. CoRR.
• Sarafraz, M. M., Tran, N. N., Nguyen, H., Fulcheri, L., Burton, R., Wadewitz, P., … Hessel, V. (2021). Tri-fold process integration leveraging high-and low-temperature plasmas: From biomass to fertilizers with local energy and for local use. Journal of Advanced Manufacturing and Processing, 3(2), e10081.

2020

• Hessel, V., Tran, N. N., Orandi, S., Asrami, M. R., Goodsite, M. E., & Nguyen, H. (2020). Continuous-Flow Extraction of Adjacent Metals–a Disruptive Economic Window for In-Situ Resource Utilization of Asteroids? Angewandte Chemie International Edition. A*
• Ranathunga, D., Roughan, M., & Nguyen, H. (2020). Verifiable policy-defined networking using metagraphs. IEEE Transactions on Dependable and Secure Computing, 19(1), 482–494. CORE A
• Pham, T., McMahon, J., & Nguyen, H. (2020). Enabling heterogeneous 5g simulations with sdn adapters. Testbeds and Research Infrastructures for the Development of Networks and Communications: 14th EAI International Conference, TridentCom 2019, Changsha, China, December 7-8, 2019, Proceedings 14, 163–183. Springer International Publishing.
• Rangathunga, D., Roughan, M., & Nguyen, H. (2020). Mathematical Reconciliation of Medical Privacy Policies. ACM Transactions on Management Information Systems (TMIS). CORE A
• Arsalaan, A. S., Nguyen, H., Coyle, A., & Fida, M. (2020). Quality of information with minimum requirements for emergency communications. Ad Hoc Networks, 111, 102331. CORE A
• Dinani, M. A., Holzer, A., Nguyen, H., Marsan, M. A., & Rizzo, G. (2020). Poster: Mobile Gossip Learning for Trajectory Prediction.
• Nguyen, Hung, Yego, K., & Sioutis, C. (2020). BGP based software defined networks for resilient combat cloud. 2020 Military Communications and Information Systems Conference (MilCIS), 1–6. IEEE.

2019

• Le, B.-D., Shen, H., Nguyen, H., & Falkner, N. (2019). Improved network community detection using meta-heuristic based label propagation. Applied Intelligence, 49, 1451–1466.
• Manzo, G., Otálora, S., Braun, T., Marsan, M. A., Rizzo, G., & Nguyen, H. (2019). DeepFloat: resource-efficient dynamic management of vehicular floating content. 2019 31st International Teletraffic Congress (ITC 31), 46–54. IEEE.

2018

• Nguyen, D. D., Nguyen, H. X., & White, L. B. (2018). Evaluating performance of RAT selection algorithms for 5G Hetnets. IEEE Access, 6, 61212–61222.
• Coyle, A., Nguyen, H., Boyd, P., & Judd, G. (2018). Improving the Performance of Land Tactical Digital Networks Using Measures of Network Capacity. 2018 Military Communications and Information Systems Conference (MilCIS), 1–6. IEEE.
• Arsalaan, A. S., Nguyen, H., & Coyle, A. (2018). Evaluating the Performance of QoI Algorithms in Realistic MANETs. 2018 28th International Telecommunication Networks and Applications Conference (ITNAC), 1–6. IEEE.
• Tran, N. N., Tran, Q. D., Shena, S., Nguyen, H., Arjomandic, M., & Hessel, V. (2018). Guardian Satellite-based Flow-Chemistry System Producing Quantum Dots as Counter Measure to Divert Missile Attack. 18th Australian Space Research Conference.

2017

• Ranathunga, D., Nguyen, H., & Roughan, M. (2017). MGtoolkit: A python package for implementing metagraphs. SoftwareX, 6, 91–93.
• Nguyen, D. D., Nguyen, H. X., & White, L. B. (2017). Reinforcement learning with network-assisted feedback for heterogeneous RAT selection. IEEE Transactions on Wireless Communications, 16(9), 6062–6076. CORE A*
• Le, B.-D., Nguyen, H. X., Shen, H., & Falkner, N. (2017). GLFR: A generalized LFR benchmark for testing community detection algorithms. 2017 26th International Conference on Computer Communication and Networks (ICCCN), 1–9. IEEE. CORE A

2016

• Ranathunga, D., Roughan, M., Nguyen, H., Kernick, P., & Falkner, N. (2016). Case studies of scada firewall configurations and the implications for best practices. IEEE Transactions on Network and Service Management, 13(4), 871–884. CORE A
• Nguyen, Hung X., & Northcote, B. (2016). User spectral efficiency: Combining spectral efficiency with user experience. 2016 IEEE International Conference on Communications (ICC), 1–6. IEEE.
• Nguyen, D. D., Nguyen, H. X., & White, L. B. (2016b). Performance of adaptive RAT selection algorithms in 5G heterogeneous wireless networks. 2016 26th International Telecommunication Networks and Applications Conference (ITNAC), 70–75. IEEE.
• Le, B.-D., Nguyen, H., & Shen, H. (2016). Community detection in networks with less significant community structure. Advanced Data Mining and Applications: 12th International Conference, ADMA 2016, Gold Coast, QLD, Australia, December 12-15, 2016, Proceedings 12, 65–80. Springer International Publishing.
• Nguyen, D. D., White, L. B., & Nguyen, H. X. (2016). Adaptive multiagent reinforcement learning with non-positive regret. AI 2016: Advances in Artificial Intelligence: 29th Australasian Joint Conference, Hobart, TAS, Australia, December 5-8, 2016, Proceedings 29, 29–41. Springer International Publishing.
• Ranathunga, D., Roughan, M., Kernick, P., Falkner, N., Nguyen, H. X., Mihailescu, M., & McClintock, M. (2016). Verifiable Policy-defined Networking for Security Management. SECRYPT, 344–351.
• Nguyen, Hung Xuan, Webb, M. R., & Naguleswaran, S. (2016). Achieving policy defined networking for military operations. 2016 Military Communications and Information Systems Conference (MilCIS), 1–6. IEEE.
• Nguyen, Hung X., Pham, T., Hoang, K., Nguyen, D. D., & Parsonage, E. (2016). A prototype of policy defined wireless access networks. 2016 26th International Telecommunication Networks and Applications Conference (ITNAC), 101–106. IEEE.

2015

• Ranathunga, D., Roughan, M., Kernick, P., Falkner, N., & Nguyen, H. (2015). Identifying the missing aspects of the ANSI/ISA best practices for security policy. Proceedings of the 1st ACM Workshop on Cyber-Physical System Security, 37–48.
• Mihailescu, M., Nguyen, H., & Webb, M. R. (2015). Enhancing wireless communications with software defined networking. 2015 Military Communications and Information Systems Conference (MilCIS), 1–6. IEEE.

2013

• Nguyen, Hung X., & Roughan, M. (2013). Multi-observer privacy-preserving hidden markov models. IEEE Transactions on Signal Processing, 61(23), 6010–6019. CORE A*
• Tune, P., Nguyen, H. X., & Roughan, M. (2013). Hidden Markov model identifiability via tensors. 2013 IEEE International Symposium on Information Theory, 2299–2303. IEEE.
• Knight, S., Nguyen, H., Maennel, O., Phillips, I., Falkner, N., Bush, R., & Roughan, M. (2013). An automated system for emulated network experimentation. Proceedings of the Ninth ACM Conference on Emerging Networking Experiments and Technologies, 235–246. CORE A

2012

• Nguyen, Hung X., & Roughan, M. (2012b). On the identifiability of multi-observer hidden markov models. 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 1873–1876. IEEE.
• Nguyen, Hung X., & Roughan, M. (2012a). Improving hidden Markov model inferences with private data from multiple observers. IEEE Signal Processing Letters, 19(10), 696–699. CORE A
• Knight, S., Falkner, N., Nguyen, H. X., Tune, P., & Roughan, M. (2012). I can see for miles: Re-visualizing the internet. IEEE Network, 26(6), 26–32.
• Nguyen, Hung X., & Roughan, M. (2012c). Rigorous statistical analysis of internet loss measurements. IEEE/ACM Transactions on Networking, 21(3), 734–745. CORE A*

2011

• Knight, S., Nguyen, H. X., Falkner, N., Bowden, R., & Roughan, M. (2011). The internet topology zoo. IEEE Journal on Selected Areas in Communications, 29(9), 1765–1775. CORE A*
• Parsonage, E., Nguyen, H. X., & Roughan, M. (2011). Absorbing Lexicographic Products in Metarouting.
• Nguyen, Hung, Roughan, M., Knight, S., Falkner, N., Maennel, O., & Bush, R. (2011). How to build complex, large-scale emulated networks. Testbeds and Research Infrastructures. Development of Networks and Communities: 6th International ICST Conference, TridentCom 2010, Berlin, Germany, May 18-20, 2010, Revised Selected Papers 6, 3–18. Springer Berlin Heidelberg.
• Parsonage, E., Nguyen, H. X., Bowden, R., Knight, S., Falkner, N., & Roughan, M. (2011). Generalized graph products for network design and analysis. 2011 19th IEEE International Conference on Network Protocols, 79–88. IEEE. CORE A
• Bowden, R., Nguyen, H. X., Falkner, N., Knight, S., & Roughan, M. (2011). Planarity of data networks. 2011 23rd International Teletraffic Congress (ITC), 254–261. IEEE.

2010

• Ghita, D., Nguyen, H., Kurant, M., Argyraki, K., & Thiran, P. (2010). Netscope: Practical network loss tomography. 2010 Proceedings IEEE INFOCOM, 1–9. IEEE. CORE A*
• Nguyen, Hung X., & Roughan, M. (2010a). Rigorous statistical analysis of internet loss measurements. Proceedings of the ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems, 361–362. CORE A*
• Coyle, A., & Nguyen, H. (2010). A Frequency Control Algorithm for a Mobile Adhoc Network, IEEE Milcis 2010.
• Nguyen, Hung X., & Roughan, M. (2010b). SAIL: Statistically accurate Internet loss measurement. Proceedings of ACM Sigmetrics 2010 Conference. CORE A*

2009

• Nguyen, Hung Xuan, Teixeira, R., Thiran, P., & Diot, C. (2009). Minimizing probing cost for detecting interface failures: Algorithms and scalability analysis. IEEE INFOCOM 2009, 1386–1394. IEEE. CORE A*
• Nguyen, Hung, Ghita, D., Kurant, M., Argyraki, K., & Thiran, P. (n.d.). Fundamental Properties of Routing Matrices and Their Implications for Network Tomography. Technical report, EPFL, February 2009.

2008

• Nguyen, Hung Xuan, Figueiredo, D. R., Grossglauser, M., & Thiran, P. (2008). Balanced relay allocation on heterogeneous unstructured overlays. IEEE INFOCOM 2008-The 27th Conference on Computer Communications, 126–130. IEEE. CORE A*
• Nguyen, Hung X., & Roughan, M. (2008). On the correlation of internet packet losses. 2008 Australasian Telecommunication Networks and Applications Conference, 22–27. IEEE.

2007

• Nguyen, Hung Xuan, & Thiran, P. (2007). The boolean solution to the congested IP link location problem: Theory and practice. IEEE INFOCOM 2007-26th IEEE International Conference on Computer Communications, 2117–2125. IEEE. CORE A*
• Nguyen, Hung X., & Thiran, P. (2007). Network loss inference with second order statistics of end-to-end flows. Proceedings of the 7th ACM SIGCOMM Conference on Internet Measurement, 227–240. CORE A*

2006

• Nguyen, Hung Xuan, & Thiran, P. (2006). Using end-to-end data to infer lossy links in sensor networks. IEEE Infocom 2006. CORE A*
• Kurant, M., Nguyen, H. X., & Thiran, P. (2006). Survey on dependable IP over fiber networks. In Dependable Systems: Software, Computing, Networks: Research Results of the DICS Program (pp. 55–81). Springer Berlin Heidelberg Berlin, Heidelberg.
• Ducatelle, F., Gambardella, L. M., Kurant, M., Nguyen, H. X., & Thiran, P. (2006). Algorithms for failure protection in large ip-over-fiber and wireless ad hoc networks. In Dependable Systems: Software, Computing, Networks: Research Results of the DICS Program (pp. 231–259). Springer Berlin Heidelberg Berlin, Heidelberg.

2005

• Nguyen, Hung, & Thiran, P. (2005a). Binary versus analogue path monitoring in IP networks. Passive and Active Network Measurement, 97–107.
• Nguyen, Hung, & Thiran, P. (2005b). Failure location in transparent optical networks: The asymmetry between false and missing alarms. ITC.
• Dousse, O., Nguyen, H. X., & Thiran, P. (2005). Deux applications de processus ponctuels aux réseaux de communication. GRETSI.
• Mas, C., Nguyen, H. X., & Thiran, P. (2005). Failure location in WDM networks. Emerging Optical Network Technologies: Architectures, Protocols and Performance, 379–399.

2004

• Nguyen, Hung X., & Thiran, P. (2004). Active measurement for multiple link failures diagnosis in IP networks. Passive and Active Network Measurement: 5th International Workshop, PAM 2004, Antibes Juan-Les-Pins, France, April 19-20, 2004. Proceedings 5, 185–194. Springer Berlin Heidelberg.
• Nguyen, Hung Xuan, Thiran, P., & Barakat, C. (2004). On the correlation of TCP traffic in backbone networks. 2004 IEEE International Symposium on Circuits and Systems (IEEE Cat. No. 04CH37512), 5, V–V. IEEE.
• Mas Machuca, C., Nguyen, H., & Thiran, P. (2004). Failure location in WDM networks.

Others

• Nguyen, Hung, Rajesh, S., & Abbott, D. (2001). Motion detection algorithms using template model. Electronics and Structures for MEMS II, 4591, 78–90. SPIE.