Virginia Tech National Security Institute
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Scholarly Works, Virginia Tech National Security Institute [6]
Research articles, presentations, and other scholarship
Recent Submissions
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Disruptive Role of Vertical Land Motion in Future Assessments of Climate Change-Driven Sea-Level Rise and Coastal Flooding Hazards in the Chesapeake Bay
(American Geophysical Union, 2023-04)Future projections of sea-level rise (SLR) used to assess coastal flooding hazards and exposure throughout the 21st century and devise risk mitigation efforts often lack an accurate estimate of coastal vertical land motion ... -
Hidden vulnerability of US Atlantic coast to sea-level rise due to vertical land motion
(Nature Research, 2023-04-11)The vulnerability of coastal environments to sea-level rise varies spatially, particularly due to local land subsidence. However, high-resolution observations and models of coastal subsidence are scarce, hindering an ... -
How to Attack and Defend NextG Radio Access Network Slicing With Reinforcement Learning
(IEEE, 2023)In this paper, reinforcement learning (RL) for network slicing is considered in next generation (NextG) radio access networks, where the base station (gNodeB) allocates resource blocks (RBs) to the requests of user equipments ... -
Collaborative Multi-Robot Multi-Human Teams in Search and Rescue
(2022-04-30)Robots such as unmanned aerial vehicles (UAVs) deployed for search and rescue (SAR) can explore areas where human searchers cannot easily go and gather information on scales that can transform SAR strategy. Multi-UAV teams ... -
Adversarial Machine Learning for NextG Covert Communications Using Multiple Antennas
(MDPI, 2022-07-29)This paper studies the privacy of wireless communications from an eavesdropper that employs a deep learning (DL) classifier to detect transmissions of interest. There exists one transmitter that transmits to its receiver ... -
A survey of inverse reinforcement learning
(Springer, 2022-08)Learning from demonstration, or imitation learning, is the process of learning to act in an environment from examples provided by a teacher. Inverse reinforcement learning (IRL) is a specific form of learning from demonstration ... -
Improving Deep Learning for Maritime Remote Sensing through Data Augmentation and Latent Space
(MDPI, 2022-07-07)Training deep learning models requires having the right data for the problem and understanding both your data and the models’ performance on that data. Training deep learning models is difficult when data are limited, ... -
Decoupling RNN Training and Testing Observation Intervals for Spectrum Sensing Applications
(MDPI, 2022-06-22)Recurrent neural networks have been shown to outperform other architectures when processing temporally correlated data, such as from wireless communication signals. However, compared to other architectures, such as ... -
SpaceDrones 2.0—Hardware-in-the-Loop Simulation and Validation for Orbital and Deep Space Computer Vision and Machine Learning Tasking Using Free-Flying Drone Platforms
(MDPI, 2022-05-06)The proliferation of reusable space vehicles has fundamentally changed how assets are injected into the low earth orbit and beyond, increasing both the reliability and frequency of launches. Consequently, it has led to the ... -
Transfer Learning for Radio Frequency Machine Learning: A Taxonomy and Survey
(MDPI, 2022-02-12)Transfer learning is a pervasive technology in computer vision and natural language processing fields, yielding exponential performance improvements by leveraging prior knowledge gained from data with different distributions. ... -
Real-Time Mask Recognition
(MDPI, 2021-11-08)While a variety of image processing studies have been performed to quantify the potential performance of neural network-based models using high-quality still images, relatively few studies seek to apply those models to a ... -
Designing a Block Cipher in Galois Extension Fields for IoT Security
(MDPI, 2021-11-05)This paper focuses on a block cipher adaptation of the Galois Extension Fields (GEF) combination technique for PRNGs and targets application in the Internet of Things (IoT) space, an area where the combination technique ... -
Enabling Artificial Intelligence Adoption through Assurance
(MDPI, 2021-08-25)The wide scale adoption of Artificial Intelligence (AI) will require that AI engineers and developers can provide assurances to the user base that an algorithm will perform as intended and without failure. Assurance is the ... -
Shannon Entropy Loss in Mixed-Radix Conversions
(MDPI, 2021-07-27)This paper models a translation for base-2 pseudorandom number generators (PRNGs) to mixed-radix uses such as card shuffling. In particular, we explore a shuffler algorithm that relies on a sequence of uniformly distributed ... -
An ontological metamodel for cyber-physical system safety, security, and resilience coengineering
(2021-06-01)Cyber-physical systems are complex systems that require the integration of diverse software, firmware, and hardware to be practical and useful. This increased complexity is impacting the management of models necessary for ... -
Cyberphysical Security Through Resiliency: A Systems-Centric Approach
(2021-06)Cyberphysical systems require resiliency techniques for defense, and multicriteria resiliency problems need an approach that evaluates systems for current threats and potential design solutions. A systems-oriented view of ... -
Attacks and Defenses for Single-Stage Residue Number System PRNGs
(MDPI, 2021-06-25)This paper explores the security of a single-stage residue number system (RNS) pseudorandom number generator (PRNG), which has previously been shown to provide extremely high-quality outputs when evaluated through available ... -
A Coupled OpenFOAM-WRF Study on Atmosphere-Wake-Ocean Interaction
(MDPI, 2020-12-30)This work aims to better understand how small scale disturbances that are generated at the air-sea interface propagate into the surrounding atmosphere under realistic environmental conditions. To that end, a one-way coupled ... -
Multi-Physics Modeling of Electrochemical Deposition
(MDPI, 2020-12-11)Electrochemical deposition (ECD) is a common method used in the field of microelectronics to grow metallic coatings on an electrode. The deposition process occurs in an electrolyte bath where dissolved ions of the depositing ... -
A Practical Guide for Managing Interdisciplinary Teams: Lessons Learned from Coupled Natural and Human Systems Research
(MDPI, 2020-07-09)Interdisciplinary team science is essential to address complex socio-environmental questions, but it also presents unique challenges. The scientific literature identifies best practices for high-level processes in team ...
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