Dane Brown

29 papers C 1Misc 2Journal 10Unranked 15
YearRankTypeTitle / Venue / Authors
2025 J jnl
Early detection of Wheat Stripe Mosaic Virus using multispectral imaging with deep-learning.
Ecol. Informatics
Malithi De Silva, Dane Brown
2025 — conf
Poster: Building Confidence in Hardware-Based Ransomware Detection Through Hardware Performance Counter Event Correlation.
DIMVA (2)
Ryan Binder, Joshua Byun, Dane Brown, T. Owens Walker, Jennie Hill
2024 — conf
Identifying Ransomware Functions Through Microarchitectural Side-Channel Analysis.
SciSec
Connor Startzel, Dane Brown, T. Owens Walker, Jennie Hill
2023 J jnl
Multispectral Plant Disease Detection with Vision Transformer-Convolutional Neural Network Hybrid Approaches.
Sensors
Malithi De Silva, Dane Brown
2022 — conf
Analysis of Vulnerabilities in Satellite Software Bus Network Architecture.
MILCOM
Adrian Schalk, Luke Brodnik, Dane Brown
2022 J jnl
Deep Palmprint Recognition with Alignment and Augmentation of Limited Training Samples.
SN Comput. Sci.
Dane Brown, Karen L. Bradshaw
2022 Misc conf
Golf Swing Sequencing Using Computer Vision.
IbPRIA
Marc Marais, Dane Brown
2022 Misc conf
Improving Licence Plate Detection Using Generative Adversarial Networks.
IbPRIA
Alden Boby, Dane Brown
2021 — conf
Adaptive Machine Learning Based Network Intrusion Detection.
icARTi
Hatitye Chindove, Dane Brown
2021 J jnl
Detecting firmware modification on solid state drives via current draw analysis.
Comput. Secur.
Dane Brown, T. Owens Walker III, Justin A. Blanco, Robert W. Ives, Hau T. Ngo, James Shey, Ryan N. Rakvic
2021 J jnl
Three Years Later: A Study of MAC Address Randomization In Mobile Devices And When It Succeeds.
Proc. Priv. Enhancing Technol.
Ellis Fenske, Dane Brown, Jeremy Martin, Travis Mayberry, Peter Ryan, Erik C. Rye
2021 — conf
Who Tracks the Trackers?: Circumventing Apple's Anti-Tracking Alerts in the Find My Network.
WPES@CCS
Travis Mayberry, Ellis Fenske, Dane Brown, Jeremy Martin, Christine Fossaceca, Erik C. Rye, Sam Teplov, Lucas Foppe
2020 J jnl
Classifying Proprietary Firmware on a Solid State Drive Using Idle State Current Draw Measurements.
IEEE Access
T. Owens Walker, Justin A. Blanco, Ryan N. Rakvic, Ann C. Vanleer, Dane Brown, James Shey, Gregory L. Sinsley, Hau T. Ngo, Robert W. Ives
2020 — conf
Efficient architecture design for the AES-128 algorithm on embedded systems.
CF
Rupam Mondal, Hau T. Ngo, James Shey, Ryan N. Rakvic, T. Owens Walker, Dane Brown
2019 — —
Analysis of Firmware Security in Embedded ARM Environments.
Dane Brown
2019 — conf
Improved Palmprint Segmentation for Robust Identification and Verification.
SITIS
Dane Brown, Karen L. Bradshaw
2019 — conf
Multi-angled Face Segmentation and Identification Using Limited Data.
SITIS
Dane Brown
2019 J jnl
Return-oriented programming on a resource constrained device.
Sustain. Comput. Informatics Syst.
Nathanael R. Weidler, Dane Brown, Samuel A. Mitchell, Joel Anderson, Jonathan R. Williams, Austin Costley, Chase Kunz, Christopher Wilkinson, Remy Wehbe, Ryan M. Gerdes
2019 — conf
Using Current Draw Analysis to Identify Suspicious Firmware Behavior in Solid State Drives.
CSE/EUC
Ryan McDowell, Ryan N. Rakvic, Hau T. Ngo, T. Owens Walker, Robert W. Ives, Dane Brown
2018 — conf
Classifying Solid State Drive Firmware via Side-Channel Current Draw Analysis.
DASC/PiCom/DataCom/CyberSciTech
Zachary Johnson, Alex Varon, Justin A. Blanco, Ryan N. Rakvic, James Shey, Hau T. Ngo, Dane Brown, T. Owens Walker
2018 — conf
Towards detection of modified firmware on solid state drives via side channel analysis.
MEMSYS
Dane Brown, T. Owens Walker, Ryan N. Rakvic, Robert W. Ives, Hau T. Ngo, James Shey, Justin A. Blanco
2017 J jnl
A Study of MAC Address Randomization in Mobile Devices and When it Fails.
CoRR
Jeremy Martin, Travis Mayberry, Collin Donahue, Lucas Foppe, Lamont Brown, Chadwick Riggins, Erik C. Rye, Dane Brown
2017 J jnl
A Study of MAC Address Randomization in Mobile Devices and When it Fails.
Proc. Priv. Enhancing Technol.
Jeremy Martin, Travis Mayberry, Collin Donahue, Lucas Foppe, Lamont Brown, Chadwick Riggins, Erik C. Rye, Dane Brown
2017 J jnl
Feature-Fusion Guidelines for Image-Based Multi-Modal Biometric Fusion.
South Afr. Comput. J.
Dane Brown, Karen L. Bradshaw
2017 C conf
How Much Privacy Does $3, 165 Buy You?
PST
Jeremy Martin, Dane Brown, Kris Merrion, Lamont Brown, Travis Mayberry
2017 — conf
Improved Automatic Face Segmentation and Recognition for Applications with Limited Training Data.
BDAS
Dane Brown, Karen L. Bradshaw
2017 — conf
Return-Oriented Programming on a Cortex-M Processor.
TrustCom/BigDataSE/ICESS
Nathanael R. Weidler, Dane Brown, Samuel A. Mitchell, Joel Anderson, Jonathan R. Williams, Austin Costley, Chase Kunz, Christopher Wilkinson, Remy Wehbe, Ryan M. Gerdes
2016 — conf
An Investigation of Face and Fingerprint Feature-Fusion Guidelines.
BDAS
Dane Brown, Karen L. Bradshaw
2016 — conf
Extended Feature-Fusion Guidelines to Improve Image-Based Multi-Modal Biometrics.
SAICSIT
Dane Brown, Karen L. Bradshaw