Terrence J. Moore

78 papers A* 2B 6C 2Misc 6Journal 40Unranked 21

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DECOR: Multi-Modal Decentralized Cluster-Based Energy Efficient Covert Routing in HetNets. IEEE Trans. Inf. Forensics Secur. Khandaker Foysal Haque, Justin Kong, Terrence J. Moore, Kevin S. Chan, Francesco Restuccia, Fikadu T. Dagefu
2026	J	`jnl`	MTD in depth: Multi-phased moving target defense techniques against cyber-attacks based on cyber kill chain. Future Gener. Comput. Syst. Minjune Kim, Jin-Hee Cho, Hyuk Lim, Tina Moghaddam, Terrence J. Moore, Frederica F. Nelson, Dan Dongseong Kim
2026	J	`jnl`	Protecting federated learning from malicious attacks using consensus technique. Appl. Soft Comput. Woocheol Kim, Jaehyoung Park, Jin-Hee Cho, Dong Seong Kim, Terrence J. Moore, Frederica F. Nelson, Seunghyun Yoon, Hyuk Lim
2026	J	`jnl`	Risk-Aware Human-in-the-Loop Framework with Adaptive Intrusion Response for Autonomous Vehicles. CoRR Dawood Wasif, Terrence J. Moore, Seunghyun Yoon, Hyuk Lim, Dan Dongseong Kim, Frederica F. Nelson, Jin-Hee Cho
2026	J	`jnl`	Securing End-to-End Reinforcement Learning-Driven Autonomous Driving: A Control Command Utility-Based Intrusion Response System. IEEE Trans. Intell. Veh. Qisheng Zhang, Han Jun Yoon, Terrence J. Moore, Seunghyun Yoon, Dan Dongseong Kim, Hyuk Lim, Frederica Nelson, Jin-Hee Cho
2025	J	`jnl`	Advancing Human-Machine Teaming: Concepts, Challenges, and Applications. CoRR Dian Chen, Han Jun Yoon, Zelin Wan, Nithin Alluru, Sang Won Lee, Richard He, Terrence J. Moore, Frederica F. Nelson, Sunghyun Yoon, Hyuk Lim, Dan Dongseong Kim, Jin-Hee Cho
2025	J	`jnl`	BioimageAIpub: a toolbox for AI-ready bioimaging data publishing. CoRR Stefan Dvoretskii, Anwai Archit, Constantin Pape, Terrence J. Moore, Marco Nolden
2025	J	`jnl`	DASH: Deception-Augmented Shared Mental Model for a Human-Machine Teaming System. CoRR Zelin Wan, Han Jun Yoon, Nithin Alluru, Terrence J. Moore, Frederica F. Nelson, Seunghyun Yoon, Hyuk Lim, Dan Dongseong Kim, Jin-Hee Cho
2025	B	`conf`	DEER: Simultaneous Multi-Modal Decentralized Energy Efficient Covert Routing. WCNC Khandaker Foysal Haque, Justin Kong, Terrence J. Moore, Francesco Restuccia, Fikadu T. Dagefu
2025	—	`conf`	Deep Reinforcement Learning Based Routing for Heterogeneous Multi-Hop Wireless Networks. MILCOM Brian Kim, Han-Bae Kong, Terrence J. Moore, Fikadu T. Dagefu
2025	J	`jnl`	Deep Reinforcement Learning for Multi-flow Routing in Heterogeneous Wireless Networks. CoRR Brian Kim, Justin Kong, Terrence J. Moore, Fikadu T. Dagefu
2025	J	`jnl`	DriveMind: A Dual-VLM based Reinforcement Learning Framework for Autonomous Driving. CoRR Dawood Wasif, Terrence J. Moore, Chandan K. Reddy, Jin-Hee Cho
2025	J	`jnl`	Empirical Analysis of Privacy-Fairness-Accuracy Trade-offs in Federated Learning: A Step Towards Responsible AI. CoRR Dawood Wasif, Dian Chen, Sindhuja Madabushi, Nithin Alluru, Terrence J. Moore, Jin-Hee Cho
2025	J	`jnl`	Graphical security modelling for Autonomous Vehicles: A novel approach to threat analysis and defence evaluation. Comput. Secur. Nhung H. Nguyen, Mengmeng Ge, Jin-Hee Cho, Terrence J. Moore, Seunghyun Yoon, Hyuk Lim, Frederica Nelson, Guangdong Bai, Dan Dongseong Kim
2025	—	`conf`	Intrusion Detection System with Domain-incremental Continual Learning. DSN-S Hyejin Kim, Seunghyun Yoon, Dan Dongseong Kim, Jin-Hee Cho, Terrence J. Moore, Frederica F. Nelson, Hyuk Lim
2025	J	`jnl`	Joint Routing and Resource Allocation in Covert Multi-Flow Heterogeneous Networks. IEEE Commun. Lett. Justin Kong, Terrence J. Moore, Fikadu T. Dagefu
2025	J	`jnl`	RESFL: An Uncertainty-Aware Framework for Responsible Federated Learning by Balancing Privacy, Fairness and Utility in Autonomous Vehicles. CoRR Dawood Wasif, Terrence J. Moore, Jin-Hee Cho
2025	—	`conf`	Reinforcement Learning for Covert Heterogeneous Wireless Network Routing with a Threat Region. CCNC Brian Kim, Justin Kong, Terrence J. Moore, Fikadu T. Dagefu
2025	B	`conf`	Safe and Reliable Deep Reinforcement Learning for Covert Routing. MASS Amirhossein Roknilamouki, Fikadu T. Dagefu, Eylem Ekici, Brian Kim, Justin Kong, Terrence J. Moore, Yin Sun, Ness B. Shroff
2024	—	`conf`	AuSSE: A Novel Framework for Security and Safety Evaluation for Autonomous Vehicles. DSN-S Nhung H. Nguyen, Jin-Hee Cho, Terrence J. Moore, Seunghyun Yoon, Hyuk Lim, Frederica Nelson, Guangdong Bai, Dan Dongseong Kim
2024	—	`conf`	Covert Communications with Simultaneous Multi-Modal Transmission. WISEC Rahul Aggarwal, Justin Kong, Terrence J. Moore, Jihun Choi, Predrag Spasojevic, Fikadu T. Dagefu
2024	J	`jnl`	Covert Routing in Heterogeneous Networks. IEEE Trans. Inf. Forensics Secur. Justin Kong, Fikadu T. Dagefu, Terrence J. Moore
2024	J	`jnl`	Decentralized Covert Routing in Heterogeneous Networks Using Reinforcement Learning. CoRR Justin Kong, Terrence J. Moore, Fikadu T. Dagefu
2024	J	`jnl`	Decentralized Covert Routing in Heterogeneous Networks Using Reinforcement Learning. IEEE Commun. Lett. Justin Kong, Terrence J. Moore, Fikadu T. Dagefu
2024	—	`conf`	Intrusion Response System for In-Vehicle Networks: Uncertainty-Aware Deep Reinforcement Learning-based Approach. MILCOM Han Jun Yoon, David Soon, Terrence J. Moore, Seunghyun Yoon, Hyuk Lim, Dongseong Kim, Frederica F. Nelson, Jin-Hee Cho
2024	—	`conf`	Reinforcement Learning Based Covert Routing with Node Failure Resiliency for Heterogeneous Networks. MILCOM Brian Kim, Justin Kong, Terrence J. Moore, Fikadu T. Dagefu
2023	—	`conf`	EVADE: Efficient Moving Target Defense for Autonomous Network Topology Shuffling Using Deep Reinforcement Learning. ACNS (1) Qisheng Zhang, Jin-Hee Cho, Terrence J. Moore, Dan Dongseong Kim, Hyuk Lim, Frederica Nelson
2023	—	`conf`	Non-Line-Of-Sight Ranging via Ultraviolet Signals. ICMCIS C. Hakan Arslan, Fikadu T. Dagefu, Jeffrey N. Twigg, Terrence J. Moore
2023	B	`conf`	Range Estimation of an Ultraviolet Communication Source using a Mobile Sensor. WCNC Terrence J. Moore, Fikadu T. Dagefu, C. Hakan Arslan, Michael J. Weisman, Robert J. Drost
2023	J	`jnl`	Time-Based Moving Target Defense Using Bayesian Attack Graph Analysis. IEEE Access Hyejin Kim, Euiseok Hwang, Dongseong Kim, Jin-Hee Cho, Terrence J. Moore, Frederica F. Nelson, Hyuk Lim
2022	—	`conf`	A Practical Security Evaluation of a Moving Target Defence against Multi-Phase Cyberattacks. DSN Workshops Tina Moghaddam, Minjune Kim, Jin-Hee Cho, Hyuk Lim, Terrence J. Moore, Frederica F. Nelson, Dan Dongseong Kim
2022	B	`conf`	Continual Learning with Network Intrusion Dataset. IEEE Big Data Hyejin Kim, Dan Dongseong Kim, Jin-Hee Cho, Terrence J. Moore, Frederica F. Nelson, Hyuk Lim
2022	J	`jnl`	DIVERGENCE: Deep Reinforcement Learning-Based Adaptive Traffic Inspection and Moving Target Defense Countermeasure Framework. IEEE Trans. Netw. Serv. Manag. Sunghwan Kim, Seunghyun Yoon, Jin-Hee Cho, Dong Seong Kim, Terrence J. Moore, Frederica Free-Nelson, Hyuk Lim
2022	J	`jnl`	Diversity-by-Design for Dependable and Secure Cyber-Physical Systems: A Survey. IEEE Trans. Netw. Serv. Manag. Qisheng Zhang, Abdullah Zubair Mohammed, Zelin Wan, Jin-Hee Cho, Terrence J. Moore
2022	C	`conf`	Evaluating Performance and Security of a Hybrid Moving Target Defense in SDN Environments. QRS Minjune Kim, Jin-Hee Cho, Hyuk Lim, Terrence J. Moore, Frederica F. Nelson, Ryan K. L. Ko, Dan Dongseong Kim
2022	C	`conf`	Performance and Security Evaluation of a Moving Target Defense Based on a Software-Defined Networking Environment. PRDC Minjune Kim, Jin-Hee Cho, Hyuk Lim, Terrence J. Moore, Frederica F. Nelson, Dan Dongseong Kim
2021	J	`jnl`	A Survey on Centrality Metrics and Their Network Resilience Analysis. IEEE Access Zelin Wan, Yash Mahajan, Beom Woo Kang, Terrence J. Moore, Jin-Hee Cho
2021	J	`jnl`	DESOLATER: Deep Reinforcement Learning-Based Resource Allocation and Moving Target Defense Deployment Framework. IEEE Access Seunghyun Yoon, Jin-Hee Cho, Dong Seong Kim, Terrence J. Moore, Frederica Free-Nelson, Hyuk Lim
2021	—	`conf`	DREVAN: Deep Reinforcement Learning-based Vulnerability-Aware Network Adaptations for Resilient Networks. CNS Qisheng Zhang, Jin-Hee Cho, Terrence J. Moore, Frederica Free-Nelson
2021	B	`conf`	Network Resilience Under Epidemic Attacks: Deep Reinforcement Learning Network Topology Adaptations. GLOBECOM Qisheng Zhang, Jin-Hee Cho, Terrence J. Moore
2021	J	`jnl`	Vulnerability-Aware Resilient Networks: Software Diversity-Based Network Adaptation. IEEE Trans. Netw. Serv. Manag. Qisheng Zhang, Jin-Hee Cho, Terrence J. Moore, Ing-Ray Chen
2020	J	`jnl`	A Survey on Centrality Metrics and Their Implications in Network Resilience. CoRR Zelin Wan, Yash Mahajan, Beom Woo Kang, Terrence J. Moore, Jin-Hee Cho
2020	J	`jnl`	Attack Graph-Based Moving Target Defense in Software-Defined Networks. IEEE Trans. Netw. Serv. Manag. Seunghyun Yoon, Jin-Hee Cho, Dong Seong Kim, Terrence J. Moore, Frederica Free-Nelson, Hyuk Lim
2020	—	`conf`	Design and Performance Analysis of Software Defined Networking Based Web Services Adopting Moving Target Defense. DSN (Supplements) Dong Seong Kim, Minjune Kim, Jin-Hee Cho, Hyuk Lim, Terrence J. Moore, Frederica F. Nelson
2020	J	`jnl`	Diversity-By-Design for Dependable and Secure Cyber-Physical Systems: A Survey. CoRR Qisheng Zhang, Abdullah Zubair Mohammed, Zelin Wan, Jin-Hee Cho, Terrence J. Moore
2020	J	`jnl`	Dynamic Security Metrics for Software-Defined Network-based Moving Target Defense. J. Netw. Comput. Appl. Dilli P. Sharma, Simon Yusuf Enoch, Jin-Hee Cho, Terrence J. Moore, Frederica F. Nelson, Hyuk Lim, Dong Seong Kim
2020	Misc	`conf`	Performability analysis of services in a software-defined networking adopting time-based moving target defense mechanisms. SAC Júlio Mendonça, Jin-Hee Cho, Terrence J. Moore, Frederica F. Nelson, Hyuk Lim, Armin Zimmermann, Dong Seong Kim
2020	J	`jnl`	Toward Proactive, Adaptive Defense: A Survey on Moving Target Defense. IEEE Commun. Surv. Tutorials Jin-Hee Cho, Dilli P. Sharma, Hooman Alavizadeh, Seunghyun Yoon, Noam Ben-Asher, Terrence J. Moore, Dong Seong Kim, Hyuk Lim, Frederica F. Nelson
2020	J	`jnl`	Vulnerability-Aware Resilient Networks: Software Diversity-based Network Adaptation. CoRR Qisheng Zhang, Jin-Hee Cho, Terrence J. Moore, Ing-Ray Chen
2019	J	`jnl`	Network Adaptations Under Cascading Failures for Mission-Oriented Networks. IEEE Trans. Netw. Serv. Manag. Terrence J. Moore, Jin-Hee Cho, Ing-Ray Chen
2019	A*	`conf`	Poster: Address Shuffling based Moving Target Defense for In-Vehicle Software-Defined Networks. MobiCom Seunghyun Yoon, Jin-Hee Cho, Dong Seong Kim, Terrence J. Moore, Frederica Nelson, Hyuk Lim
2019	—	`conf`	Random Host and Service Multiplexing for Moving Target Defense in Software-Defined Networks. ICC Dilli P. Sharma, Jin-Hee Cho, Terrence J. Moore, Frederica F. Nelson, Hyuk Lim, Dong Seong Kim
2019	—	`conf`	SDN-Based IP Shuffling Moving Target Defense with Multiple SDN Controllers. DSN (Supplements) Jargalsaikhan Narantuya, Seunghyun Yoon, Hyuk Lim, Jin-Hee Cho, Dong Seong Kim, Terrence J. Moore, Frederica Nelson
2019	—	`conf`	Security and Performance Assessment of IP Multiplexing Moving Target Defence in Software Defined Networks. TrustCom/BigDataSE Cole Dishington, Dilli P. Sharma, Dong Seong Kim, Jin-Hee Cho, Terrence J. Moore, Frederica F. Nelson
2019	J	`jnl`	Toward Proactive, Adaptive Defense: A Survey on Moving Target Defense. CoRR Jin-Hee Cho, Dilli P. Sharma, Hooman Alavizadeh, Seunghyun Yoon, Noam Ben-Asher, Terrence J. Moore, Dong Seong Kim, Hyuk Lim, Frederica F. Nelson
2018	—	`conf`	FRVM: Flexible Random Virtual IP Multiplexing in Software-Defined Networks. TrustCom/BigDataSE Dilli Prasad Sharma, Dong Seong Kim, Seunghyun Yoon, Hyuk Lim, Jin-Hee Cho, Terrence J. Moore
2018	J	`jnl`	FRVM: Flexible Random Virtual IP Multiplexing in Software-Defined Networks. CoRR Dilli P. Sharma, Dong Seong Kim, Seunghyun Yoon, Hyuk Lim, Jin-Hee Cho, Terrence J. Moore
2018	A*	`conf`	Percolation-based Network Adaptability Under Correlated Failures. INFOCOM Jin-Hee Cho, Terrence J. Moore
2017	J	`jnl`	An efficient alternative to Ollivier-Ricci curvature based on the Jaccard metric. CoRR Siddharth Pal, Feng Yu, Terrence J. Moore, Ram Ramanathan, Amotz Bar-Noy, Ananthram Swami
2017	—	`conf`	Weighted Simplicial Complex: A Novel Approach for Predicting Small Group Evolution. PAKDD (1) Ankit Sharma, Terrence J. Moore, Ananthram Swami, Jaideep Srivastava
2016	—	`conf`	Greedy approaches to finding a sparse cover in a sensor network without location information. GlobalSIP Terrence J. Moore
2016	J	`jnl`	Switching Networks for Pairwise-Entanglement Distribution. JOCN Robert J. Drost, Terrence J. Moore, Michael Brodsky
2013	—	`conf`	A distributed collapse of a network's dimensionality. GlobalSIP Adam C. Wilkerson, Harish Chintakunta, Hamid Krim, Terrence J. Moore, Ananthram Swami
2013	Misc	`conf`	Simplifying the homology of networks via strong collapses. ICASSP Adam C. Wilkerson, Terrence J. Moore, Ananthram Swami, Hamid Krim
2013	B	`conf`	Structural and collaborative properties of team science networks. ASONAM Minh X. Hoang, Ram Ramanathan, Terrence J. Moore, Ananthram Swami
2012	—	`conf`	Analyzing collaboration networks using simplicial complexes: A case study. INFOCOM Workshops Terrence J. Moore, Robert J. Drost, Prithwish Basu, Ram Ramanathan, Ananthram Swami
2012	—	`conf`	The value of information in constrained parametric models. SSP Terrence J. Moore, Brian M. Sadler
2010	—	`—`	A Theory of Cramer-Rao Bounds for Constrained Parametric Models. Terrence J. Moore
2008	J	`jnl`	Maximum-Likelihood Estimation, the Cramér-Rao Bound, and the Method of Scoring With Parameter Constraints. IEEE Trans. Signal Process. Terrence J. Moore, Brian M. Sadler, Richard J. Kozick
2007	J	`jnl`	The Constrained CramÉr-Rao Bound From the Perspective of Fitting a Model. IEEE Signal Process. Lett. Terrence J. Moore, Richard J. Kozick, Brian M. Sadler
2004	J	`jnl`	Sufficient conditions for regularity and strict identifiability in MIMO systems. IEEE Trans. Signal Process. Terrence J. Moore, Brian M. Sadler
2002	J	`jnl`	Bounds on SIMO and MIMO Channel Estimation and Equalization with Side Information. J. VLSI Signal Process. Brian M. Sadler, Richard J. Kozick, Terrence J. Moore, Ananthram Swami
2002	Misc	`conf`	On the performance of source separation with constant modulus signals. ICASSP Brian M. Sadler, Richard J. Kozick, Terrence J. Moore
2002	J	`jnl`	Regularity and strict identifiability in MIMO systems. IEEE Trans. Signal Process. Terrence J. Moore, Brian M. Sadler, Richard J. Kozick
2001	Misc	`conf`	Bounds on MIMO channel estimation and equalization with side information. ICASSP Brian M. Sadler, Richard J. Kozick, Terrence J. Moore
2001	J	`jnl`	Bounds on bearing and symbol estimation with side information. IEEE Trans. Signal Process. Brian M. Sadler, Richard J. Kozick, Terrence J. Moore
2000	Misc	`conf`	Performance bounds on bearing and symbol estimation for communication signals with side information. ICASSP Brian M. Sadler, Richard J. Kozick, Terrence J. Moore
1999	Misc	`conf`	Performance analysis for direction finding in non-Gaussian noise. ICASSP Brian M. Sadler, Richard J. Kozick, Terrence J. Moore