Performance analysis for direction finding in non-Gaussian noise. - Brian M. Sadler; Richard J. Kozick; Terrence J. Moore (ICASSP, 1999)

Performance bounds on bearing and symbol estimation for communication signals with side information. - Brian M. Sadler; Richard J. Kozick; Terrence J. Moore (ICASSP, 2000)

Bounds on MIMO channel estimation and equalization with side information. - Brian M. Sadler; Richard J. Kozick; Terrence J. Moore (ICASSP, 2001)

Bounds on bearing and symbol estimation with side information. - Brian M. Sadler; Richard J. Kozick; Terrence J. Moore (IEEE Trans. Signal Process., 2001)

On the performance of source separation with constant modulus signals. - Brian M. Sadler; Richard J. Kozick; Terrence J. Moore (ICASSP, 2002)

Regularity and strict identifiability in MIMO systems. - Terrence J. Moore; Brian M. Sadler; Richard J. Kozick (IEEE Trans. Signal Process., 2002)

Bounds on SIMO and MIMO Channel Estimation and Equalization with Side Information. - Brian M. Sadler; Richard J. Kozick; Terrence J. Moore; Ananthram Swami (J. VLSI Signal Process., 2002)

Sufficient conditions for regularity and strict identifiability in MIMO systems. - Terrence J. Moore; Brian M. Sadler (IEEE Trans. Signal Process., 2004)

The Constrained CramÉr-Rao Bound From the Perspective of Fitting a Model. - Terrence J. Moore; Richard J. Kozick; Brian M. Sadler (IEEE Signal Process. Lett., 2007)

Maximum-Likelihood Estimation, the Cramér-Rao Bound, and the Method of Scoring With Parameter Constraints. - Terrence J. Moore; Brian M. Sadler; Richard J. Kozick (IEEE Trans. Signal Process., 2008)

A Theory of Cramer-Rao Bounds for Constrained Parametric Models. - Terrence J. Moore (2010)

Analyzing collaboration networks using simplicial complexes: A case study. - Terrence J. Moore; Robert J. Drost; Prithwish Basu; Ram Ramanathan; Ananthram Swami (INFOCOM Workshops, 2012)

The value of information in constrained parametric models. - Terrence J. Moore; Brian M. Sadler (SSP, 2012)

Structural and collaborative properties of team science networks. - Minh X. Hoang; Ram Ramanathan; Terrence J. Moore; Ananthram Swami (ASONAM, 2013)

A distributed collapse of a network's dimensionality. - Adam C. Wilkerson; Harish Chintakunta; Hamid Krim; Terrence J. Moore; Ananthram Swami (GlobalSIP, 2013)

Simplifying the homology of networks via strong collapses. - Adam C. Wilkerson; Terrence J. Moore; Ananthram Swami; Hamid Krim (ICASSP, 2013)

Greedy approaches to finding a sparse cover in a sensor network without location information. - Terrence J. Moore (GlobalSIP, 2016)

Switching Networks for Pairwise-Entanglement Distribution. - Robert J. Drost; Terrence J. Moore; Michael Brodsky (JOCN, 2016)

Weighted Simplicial Complex: A Novel Approach for Predicting Small Group Evolution. - Ankit Sharma 004; Terrence J. Moore; Ananthram Swami; Jaideep Srivastava (PAKDD (1), 2017)

An efficient alternative to Ollivier-Ricci curvature based on the Jaccard metric. - Siddharth Pal; Feng Yu 005; Terrence J. Moore; Ram Ramanathan; Amotz Bar-Noy; Ananthram Swami (CoRR, 2017)

Percolation-based Network Adaptability Under Correlated Failures. - Jin-Hee Cho; Terrence J. Moore (INFOCOM, 2018)

FRVM: Flexible Random Virtual IP Multiplexing in Software-Defined Networks. - Dilli Prasad Sharma; Dong Seong Kim 001; Seunghyun Yoon 001; Hyuk Lim; Jin-Hee Cho; Terrence J. Moore (TrustCom/BigDataSE, 2018)

SDN-Based IP Shuffling Moving Target Defense with Multiple SDN Controllers. - Jargalsaikhan Narantuya; Seunghyun Yoon 001; Hyuk Lim; Jin-Hee Cho; Dong Seong Kim 001; Terrence J. Moore; Frederica Nelson (DSN (Supplements), 2019)

Random Host and Service Multiplexing for Moving Target Defense in Software-Defined Networks. - Dilli P. Sharma; Jin-Hee Cho; Terrence J. Moore; Frederica F. Nelson; Hyuk Lim; Dong Seong Kim 001 (ICC, 2019)

Poster: Address Shuffling based Moving Target Defense for In-Vehicle Software-Defined Networks. - Seunghyun Yoon 001; Jin-Hee Cho; Dong Seong Kim 001; Terrence J. Moore; Frederica Nelson; Hyuk Lim (MobiCom, 2019)

Security and Performance Assessment of IP Multiplexing Moving Target Defence in Software Defined Networks. - Cole Dishington; Dilli P. Sharma; Dong Seong Kim 001; Jin-Hee Cho; Terrence J. Moore; Frederica F. Nelson (TrustCom/BigDataSE, 2019)

Network Adaptations Under Cascading Failures for Mission-Oriented Networks. - Terrence J. Moore; Jin-Hee Cho; Ing-Ray Chen (IEEE Trans. Netw. Serv. Manag., 2019)

Design and Performance Analysis of Software Defined Networking Based Web Services Adopting Moving Target Defense. - Dong Seong Kim 001; Minjune Kim; Jin-Hee Cho; Hyuk Lim; Terrence J. Moore; Frederica F. Nelson (DSN (Supplements), 2020)

Performability analysis of services in a software-defined networking adopting time-based moving target defense mechanisms. - Júlio Mendonça 001; Jin-Hee Cho; Terrence J. Moore; Frederica F. Nelson; Hyuk Lim; Armin Zimmermann; Dong Seong Kim 001 (SAC, 2020)

Toward Proactive, Adaptive Defense: A Survey on Moving Target Defense. - Jin-Hee Cho; Dilli P. Sharma; Hooman Alavizadeh; Seunghyun Yoon 001; Noam Ben-Asher; Terrence J. Moore; Dong Seong Kim 001; Hyuk Lim; Frederica F. Nelson (IEEE Commun. Surv. Tutorials, 2020)

A Survey on Centrality Metrics and Their Implications in Network Resilience. - Zelin Wan; Yash Mahajan; Beom Woo Kang; Terrence J. Moore; Jin-Hee Cho (CoRR, 2020)

Dynamic Security Metrics for Software-Defined Network-based Moving Target Defense. - Dilli P. Sharma; Simon Yusuf Enoch; Jin-Hee Cho; Terrence J. Moore; Frederica F. Nelson; Hyuk Lim; Dong Seong Kim 001 (J. Netw. Comput. Appl., 2020)

Attack Graph-Based Moving Target Defense in Software-Defined Networks. - Seunghyun Yoon 001; Jin-Hee Cho; Dong Seong Kim 001; Terrence J. Moore; Frederica Free-Nelson; Hyuk Lim (IEEE Trans. Netw. Serv. Manag., 2020)

DREVAN: Deep Reinforcement Learning-based Vulnerability-Aware Network Adaptations for Resilient Networks. - Qisheng Zhang; Jin-Hee Cho; Terrence J. Moore; Frederica Free-Nelson (CNS, 2021)

Network Resilience Under Epidemic Attacks: Deep Reinforcement Learning Network Topology Adaptations. - Qisheng Zhang; Jin-Hee Cho; Terrence J. Moore (GLOBECOM, 2021)

A Survey on Centrality Metrics and Their Network Resilience Analysis. - Zelin Wan; Yash Mahajan; Beom Woo Kang; Terrence J. Moore; Jin-Hee Cho (IEEE Access, 2021)

DESOLATER: Deep Reinforcement Learning-Based Resource Allocation and Moving Target Defense Deployment Framework. - Seunghyun Yoon 001; Jin-Hee Cho; Dong Seong Kim 001; Terrence J. Moore; Frederica Free-Nelson; Hyuk Lim (IEEE Access, 2021)

Vulnerability-Aware Resilient Networks: Software Diversity-Based Network Adaptation. - Qisheng Zhang; Jin-Hee Cho; Terrence J. Moore; Ing-Ray Chen (IEEE Trans. Netw. Serv. Manag., 2021)

Continual Learning with Network Intrusion Dataset. - Hyejin Kim; Dan Dongseong Kim; Jin-Hee Cho; Terrence J. Moore; Frederica F. Nelson; Hyuk Lim (IEEE Big Data, 2022)

A Practical Security Evaluation of a Moving Target Defence against Multi-Phase Cyberattacks. - Tina Moghaddam; Minjune Kim; Jin-Hee Cho; Hyuk Lim; Terrence J. Moore; Frederica F. Nelson; Dan Dongseong Kim (DSN Workshops, 2022)

Performance and Security Evaluation of a Moving Target Defense Based on a Software-Defined Networking Environment. - Minjune Kim; Jin-Hee Cho; Hyuk Lim; Terrence J. Moore; Frederica F. Nelson; Dan Dongseong Kim (PRDC, 2022)

Evaluating Performance and Security of a Hybrid Moving Target Defense in SDN Environments. - Minjune Kim; Jin-Hee Cho; Hyuk Lim; Terrence J. Moore; Frederica F. Nelson; Ryan K. L. Ko; Dan Dongseong Kim (QRS, 2022)

Diversity-by-Design for Dependable and Secure Cyber-Physical Systems: A Survey. - Qisheng Zhang; Abdullah Zubair Mohammed; Zelin Wan; Jin-Hee Cho; Terrence J. Moore (IEEE Trans. Netw. Serv. Manag., 2022)

DIVERGENCE: Deep Reinforcement Learning-Based Adaptive Traffic Inspection and Moving Target Defense Countermeasure Framework. - Sunghwan Kim 004; Seunghyun Yoon 001; Jin-Hee Cho; Dong Seong Kim 001; Terrence J. Moore; Frederica Free-Nelson; Hyuk Lim (IEEE Trans. Netw. Serv. Manag., 2022)

EVADE: Efficient Moving Target Defense for Autonomous Network Topology Shuffling Using Deep Reinforcement Learning. - Qisheng Zhang; Jin-Hee Cho; Terrence J. Moore; Dan Dongseong Kim; Hyuk Lim; Frederica Nelson (ACNS (1), 2023)

Non-Line-Of-Sight Ranging via Ultraviolet Signals. - C. Hakan Arslan; Fikadu T. Dagefu; Jeffrey N. Twigg; Terrence J. Moore (ICMCIS, 2023)

Range Estimation of an Ultraviolet Communication Source using a Mobile Sensor. - Terrence J. Moore; Fikadu T. Dagefu; C. Hakan Arslan; Michael J. Weisman; Robert J. Drost (WCNC, 2023)

Time-Based Moving Target Defense Using Bayesian Attack Graph Analysis. - Hyejin Kim; Euiseok Hwang; Dongseong Kim; Jin-Hee Cho; Terrence J. Moore; Frederica F. Nelson; Hyuk Lim (IEEE Access, 2023)

AuSSE: A Novel Framework for Security and Safety Evaluation for Autonomous Vehicles. - Nhung H. Nguyen; Jin-Hee Cho; Terrence J. Moore; Seunghyun Yoon 001; Hyuk Lim; Frederica Nelson; Guangdong Bai; Dan Dongseong Kim (DSN-S, 2024)

Reinforcement Learning Based Covert Routing with Node Failure Resiliency for Heterogeneous Networks. - Brian Kim; Justin Kong 001; Terrence J. Moore; Fikadu T. Dagefu (MILCOM, 2024)

Intrusion Response System for In-Vehicle Networks: Uncertainty-Aware Deep Reinforcement Learning-based Approach. - Han Jun Yoon; David Soon; Terrence J. Moore; Seunghyun Yoon 001; Hyuk Lim; Dongseong Kim; Frederica F. Nelson; Jin-Hee Cho (MILCOM, 2024)

Covert Communications with Simultaneous Multi-Modal Transmission. - Rahul Aggarwal; Justin Kong 001; Terrence J. Moore; Jihun Choi; Predrag Spasojevic; Fikadu T. Dagefu (WISEC, 2024)

Covert Routing in Heterogeneous Networks. - Justin Kong 001; Fikadu T. Dagefu; Terrence J. Moore (IEEE Trans. Inf. Forensics Secur., 2024)

Decentralized Covert Routing in Heterogeneous Networks Using Reinforcement Learning. - Justin Kong 001; Terrence J. Moore; Fikadu T. Dagefu (IEEE Commun. Lett., 2024)

Reinforcement Learning for Covert Heterogeneous Wireless Network Routing with a Threat Region. - Brian Kim; Justin Kong 001; Terrence J. Moore; Fikadu T. Dagefu (CCNC, 2025)

Intrusion Detection System with Domain-incremental Continual Learning. - Hyejin Kim; Seunghyun Yoon 001; Dan Dongseong Kim; Jin-Hee Cho; Terrence J. Moore; Frederica F. Nelson; Hyuk Lim (DSN-S, 2025)

DEER: Simultaneous Multi-Modal Decentralized Energy Efficient Covert Routing. - Khandaker Foysal Haque; Justin Kong 001; Terrence J. Moore; Francesco Restuccia 001; Fikadu T. Dagefu (WCNC, 2025)

Graphical security modelling for Autonomous Vehicles: A novel approach to threat analysis and defence evaluation. - Nhung H. Nguyen; Mengmeng Ge 001; Jin-Hee Cho; Terrence J. Moore; Seunghyun Yoon 001; Hyuk Lim; Frederica Nelson; Guangdong Bai; Dan Dongseong Kim (Comput. Secur., 2025)

Empirical Analysis of Privacy-Fairness-Accuracy Trade-offs in Federated Learning: A Step Towards Responsible AI. - Dawood Wasif; Dian Chen; Sindhuja Madabushi; Nithin Alluru; Terrence J. Moore; Jin-Hee Cho (CoRR, 2025)

RESFL: An Uncertainty-Aware Framework for Responsible Federated Learning by Balancing Privacy, Fairness and Utility in Autonomous Vehicles. - Dawood Wasif; Terrence J. Moore; Jin-Hee Cho (CoRR, 2025)

Advancing Human-Machine Teaming: Concepts, Challenges, and Applications. - 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 (CoRR, 2025)

DriveMind: A Dual-VLM based Reinforcement Learning Framework for Autonomous Driving. - Dawood Wasif; Terrence J. Moore; Chandan K. Reddy; Jin-Hee Cho (CoRR, 2025)