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Books and Theses
- 2019
[b1]Dane Brown:
Analysis of Firmware Security in Embedded ARM Environments. Virginia Tech, Blacksburg, VA, USA, 2019
Journal Articles
- 2023
- [j8]Malithi De Silva
, Dane Brown:
Multispectral Plant Disease Detection with Vision Transformer-Convolutional Neural Network Hybrid Approaches. Sensors 23(20): 8531 (2023) - 2022
- [j7]Dane Brown, Karen L. Bradshaw:
Deep Palmprint Recognition with Alignment and Augmentation of Limited Training Samples. SN Comput. Sci. 3(1): 11 (2022) - 2021
- [j6]Dane Brown, T. Owens Walker III, Justin A. Blanco, Robert W. Ives, Hau T. Ngo, James Shey, Ryan N. Rakvic:
Detecting firmware modification on solid state drives via current draw analysis. Comput. Secur. 102: 102149 (2021) - [j5]Ellis Fenske, Dane Brown, Jeremy Martin, Travis Mayberry, Peter Ryan, Erik C. Rye:
Three Years Later: A Study of MAC Address Randomization In Mobile Devices And When It Succeeds. Proc. Priv. Enhancing Technol. 2021(3): 164-181 (2021) - 2020
- [j4]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:
Classifying Proprietary Firmware on a Solid State Drive Using Idle State Current Draw Measurements. IEEE Access 8: 31869-31881 (2020) - 2019
- [j3]Nathanael R. Weidler, Dane Brown, Samuel A. Mitchell, Joel Anderson, Jonathan R. Williams, Austin Costley, Chase Kunz, Christopher Wilkinson, Remy Wehbe, Ryan M. Gerdes:
Return-oriented programming on a resource constrained device. Sustain. Comput. Informatics Syst. 22: 244-256 (2019) - 2017
- [j2]Jeremy Martin, Travis Mayberry, Collin Donahue, Lucas Foppe, Lamont Brown, Chadwick Riggins, Erik C. Rye, Dane Brown:
A Study of MAC Address Randomization in Mobile Devices and When it Fails. Proc. Priv. Enhancing Technol. 2017(4): 365-383 (2017) - [j1]Dane Brown, Karen L. Bradshaw:
Feature-Fusion Guidelines for Image-Based Multi-Modal Biometric Fusion. South Afr. Comput. J. 29(1) (2017)
Conference and Workshop Papers
- 2022
- [c16]Marc Marais, Dane Brown:
Golf Swing Sequencing Using Computer Vision. IbPRIA 2022: 351-365 - [c15]Alden Boby, Dane Brown:
Improving Licence Plate Detection Using Generative Adversarial Networks. IbPRIA 2022: 588-601 - [c14]Adrian Schalk, Luke Brodnik, Dane Brown:
Analysis of Vulnerabilities in Satellite Software Bus Network Architecture. MILCOM 2022: 350-355 - 2021
- [c13]Hatitye Chindove, Dane Brown:
Adaptive Machine Learning Based Network Intrusion Detection. icARTi 2021: 15:1-15:6 - [c12]Travis Mayberry, Ellis Fenske, Dane Brown, Jeremy Martin, Christine Fossaceca, Erik C. Rye, Sam Teplov, Lucas Foppe:
Who Tracks the Trackers?: Circumventing Apple's Anti-Tracking Alerts in the Find My Network. WPES@CCS 2021: 181-186 - 2020
- [c11]Rupam Mondal, Hau T. Ngo, James Shey, Ryan N. Rakvic, T. Owens Walker, Dane Brown:
Efficient architecture design for the AES-128 algorithm on embedded systems. CF 2020: 89-97 - 2019
- [c10]Ryan McDowell, Ryan N. Rakvic, Hau T. Ngo, T. Owens Walker, Robert W. Ives, Dane Brown:
Using Current Draw Analysis to Identify Suspicious Firmware Behavior in Solid State Drives. CSE/EUC 2019: 92-97 - [c9]Dane Brown, Karen L. Bradshaw:
Improved Palmprint Segmentation for Robust Identification and Verification. SITIS 2019: 1-7 - [c8]Dane Brown:
Multi-angled Face Segmentation and Identification Using Limited Data. SITIS 2019: 98-105 - 2018
- [c7]Zachary Johnson, Alex Varon, Justin A. Blanco, Ryan N. Rakvic, James Shey, Hau T. Ngo, Dane Brown, T. Owens Walker:
Classifying Solid State Drive Firmware via Side-Channel Current Draw Analysis. DASC/PiCom/DataCom/CyberSciTech 2018: 943-948 - [c6]Dane Brown, T. Owens Walker, Ryan N. Rakvic, Robert W. Ives, Hau T. Ngo, James Shey, Justin A. Blanco:
Towards detection of modified firmware on solid state drives via side channel analysis. MEMSYS 2018: 315-320 - 2017
- [c5]Dane Brown, Karen L. Bradshaw:
Improved Automatic Face Segmentation and Recognition for Applications with Limited Training Data. BDAS 2017: 415-426 - [c4]Jeremy Martin, Dane Brown, Kris Merrion, Lamont Brown, Travis Mayberry:
How Much Privacy Does $3, 165 Buy You? PST 2017: 197-204 - [c3]Nathanael R. Weidler, Dane Brown, Samuel A. Mitchell, Joel Anderson, Jonathan R. Williams, Austin Costley, Chase Kunz, Christopher Wilkinson, Remy Wehbe, Ryan M. Gerdes:
Return-Oriented Programming on a Cortex-M Processor. TrustCom/BigDataSE/ICESS 2017: 823-832 - 2016
- [c2]Dane Brown, Karen L. Bradshaw:
An Investigation of Face and Fingerprint Feature-Fusion Guidelines. BDAS 2016: 585-599 - [c1]Dane Brown, Karen L. Bradshaw:
Extended Feature-Fusion Guidelines to Improve Image-Based Multi-Modal Biometrics. SAICSIT 2016: 7:1-7:9
Informal and Other Publications
- 2017
- [i1]Jeremy Martin, Travis Mayberry, Collin Donahue, Lucas Foppe, Lamont Brown, Chadwick Riggins, Erik C. Rye, Dane Brown:
A Study of MAC Address Randomization in Mobile Devices and When it Fails. CoRR abs/1703.02874 (2017)
Coauthor Index
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