The goal of this project is to develop and deploy tools and methods to enhance anomaly detection in microgrids at naval installations. There is limited understanding of how physical instrusions into different microgrid components manifest in power data. This work aims to address the nuanced task of accurately identifying and categorizing anomalies, which may be triggered by external cyber-attacks, internal system failures, or a combination thereof.

Contact: Dr. Preetha Thulasiraman
Sponsor: Navy Shore Energy Technology Transition and Integration (NSETTI)

Provide enhanced functionality, customization, and security for expeditionary and DOD use cases through the design, construction, and testing of deployable 5G private open-source networks and device

Research on expeditionary 5G will provide enhanced functionality, customization, and security for expeditionary and DOD use cases through the design, construction, and testing of deployable 5G private open-source networks and devices, enabling enhanced security for DOD systems.

Contact: Dr. Chad Bollman
Sponsor: Office of the Undersecretary of Defense for Research & Experimentation (OUSD R&E)

As a continuation of our Seed Research Program, we plan to do a full simulation of the ROS 2-5G network, experimenting with different quality of service (QoS) identifiers, and security suites. By isolating 5G endpoints and studying performance between 5G at UAV endpoint and its connecting tower (5G dot), we can examine mobility and radio characteristics, as well as 5G security apparatus and impacts to UAV system data security.

Contact: Dr. Preetha Thulasiraman
Sponsor: CRUSER 

Ensure cyber secure OT/IT (operational technology/ information technology) for US and USN vessels through hardware and software reverse engineering, digital twinning, and protocol analysis.

This research sponsored through the Navy Fleet studies the security among US and USN vessels, helping devise security measures through reverse engineering of hardware and software systems, digital twinning and protocol analysis.

Contact: CAPT Chad Bollman
Sponsor: Navy Commander, Tenth Fleet

Using deep learning tools, this research aligns with the Navy to make security and prognostics of power systems more cost-effective and less intrusive. As a result, these efficiencies can reduce possible hindrances to performance of the power system, and provide insight about system factors that can lead to the manifestation of unknown anomalies.

From an operational perspective, anomaly detection will also allow energy managers to discern what engenders an anomaly in a power system. Additional case studies currently in progress, help facilitate our research and testing and continue work on hybrid anomaly detection.

Contact: Dr. Preetha Thulasiraman
Sponsor:  Deputy Assistant Secretary of the Navy (DASN) Operational Energy Office

This project supports maritime grey zone operations by enabling resilient and rapid network communications for expeditionary energy grids.

Contact: Dr. Chad Bollman
Sponsor: Office of Naval Research Code 33