Dane Brown - RankMe

29 papers C 1Misc 2Journal 10Unranked 15

Year	Rank	Type	Title / 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