Research - Information Sciences
Innovation at the Edge of Information Advantage
Discover how NPS researchers and students are advancing operational readiness through cutting-edge research in C4ISR, Cyber Systems, AI/ML, Autonomous Systems, and Human-Machine Teaming
Core Research Areas
Advancing defense capabilities through interdisciplinary research in cyber operations, data science, AI, and secure information systems.
Center for Network Innovation and Experimentation (CENETIX)
Dr. Alex Bordetsky, Director
Joint Interagency Field Experimentation
(JIFX)
Real-world experimentation for DoD, government, and small businesses.
Dr. Michael Richardson, JIFX Director
Applied Research in Cognitive and Information Sciences (ARCIS)
Research on human-AI teaming, cognitive load, and decision making
Dr. Mollie McGuire, Director
Outstanding Theses and Student Research
Arndt, Adam R., 2024
This research investigates the feasibility of using the new Messaging Layer Security (MLS) protocol over low-band UHF radio (435 MHz) to securely transmit mission-critical information for the Department of the Navy. While MLS on low-band frequencies performs slower than high-band or unencrypted methods, it offers promising security and data availability advantages for specific Navy applications, such as MH-60R helicopter squadrons.
Deficiences in the U.S. Navy Policy for Information Systems Technician Manning and Organization
Moore, Zachary C. & Hamilton, David R., 2024
This research examines how increasing complexity in U.S. Navy information systems challenges Information System Technicians (IT) due to fragmented policies and insufficient organizational support. Findings suggest that consolidating manning policies and applying structured project management principles could improve IT effectiveness and reduce the operational burden on Sailors.
Compating Judgement and Temporal Evolution of Trust Between Artificial Intelligence Supported Decision-Making and Human Supported Decision-Making
Wleklinski, Frank A. Jr. & Langham, Joshua E. Sr., 2024
This research explores how time and intermediate judgments affect trust in decision support systems, comparing human and AI sources of support. By extending a prior experiment to include human decision-support, the study enables a deeper understanding of whether trust is more influenced by the source (human vs. AI) or by the context in which support is provided.
Limitations of Synthetic Aperture Radar Reconstruction of False Targets via Deceptive Jamming Signals
Ito, Yuki., 2024
This research uses MATLAB simulations to examine the challenges of deceptive electromagnetic warfare against synthetic aperture radar (SAR) systems, focusing on injecting false targets using digital radio frequency memory (DRFM). Findings reveal that successful deception depends heavily on accurately estimating intrinsic SAR parameters—an inherently difficult task—and that errors can produce distinctive noise patterns that may expose the jamming attempt.
Organic, Standalone, Roll-On/Roll-Off Capable 5G Wireless Healthcare Network Design for Expeditionary Vessels
Castillo, Anthony & Gutberlet, Alan A., 2024
This thesis explores the use of a deployable 5G "roll-on roll-off" network to improve healthcare delivery in maritime military environments, using a systems engineering framework to identify key requirements. Results show that 5G could enhance operational efficiency and patient care through real-time data sharing and telemedicine, with future research needed to optimize integration and stakeholder collaboration.
Syntactic Difference Score: Edit Distance Metric for Evaluating Firewall Policy Interferecne
Lee, Changyoung, 2024
This thesis introduces the Syntactic Difference Score (SDS), a new metric for evaluating the accuracy of firewall policy inference by measuring structural differences between rule sets. Initial results show a positive correlation between SDS and behavioral differences, suggesting its potential as a useful evaluation tool, though further refinement and exploration are needed.