Dane Brown

According to our database, Dane Brown authored at least 24 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Multispectral Plant Disease Detection with Vision Transformer-Convolutional Neural Network Hybrid Approaches.

Malithi De Silva, Dane Brown

Sensors, October, 2023

2022

Deep Palmprint Recognition with Alignment and Augmentation of Limited Training Samples.

Dane Brown, Karen L. Bradshaw

SN Comput. Sci., 2022

Analysis of Vulnerabilities in Satellite Software Bus Network Architecture.

Adrian Schalk, Luke Brodnik, Dane Brown

Proceedings of the IEEE Military Communications Conference, 2022

Golf Swing Sequencing Using Computer Vision.

Marc Marais, Dane Brown

Proceedings of the Pattern Recognition and Image Analysis - 10th Iberian Conference, 2022

Improving Licence Plate Detection Using Generative Adversarial Networks.

Alden Boby, Dane Brown

Proceedings of the Pattern Recognition and Image Analysis - 10th Iberian Conference, 2022

2021

Three Years Later: A Study of MAC Address Randomization In Mobile Devices And When It Succeeds.

Ellis Fenske, Dane Brown, Jeremy Martin, Travis Mayberry, Peter Ryan, Erik C. Rye

Proc. Priv. Enhancing Technol., 2021

Detecting firmware modification on solid state drives via current draw analysis.

Dane Brown, T. Owens Walker III, Justin A. Blanco, Robert W. Ives, Hau T. Ngo, James Shey, Ryan N. Rakvic

Comput. Secur., 2021

Who Tracks the Trackers?: Circumventing Apple's Anti-Tracking Alerts in the Find My Network.

Travis Mayberry, Ellis Fenske, Dane Brown, Jeremy Martin, Christine Fossaceca, Erik C. Rye, Sam Teplov, Lucas Foppe

Proceedings of the WPES '21: Proceedings of the 20th Workshop on Workshop on Privacy in the Electronic Society, 2021

Adaptive Machine Learning Based Network Intrusion Detection.

Hatitye Chindove, Dane Brown

Proceedings of the icARTi '21: International Conference on Artificial Intelligence and its Applications, Virtual Event, Mauritius, December 9, 2021

2020

Classifying Proprietary Firmware on a Solid State Drive Using Idle State Current Draw Measurements.

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

IEEE Access, 2020

Efficient architecture design for the AES-128 algorithm on embedded systems.

Rupam Mondal, Hau T. Ngo, James Shey, Ryan N. Rakvic, T. Owens Walker, Dane Brown

Proceedings of the 17th ACM International Conference on Computing Frontiers, 2020

2019

Return-oriented programming on a resource constrained device.

Nathanael R. Weidler, Dane Brown, Samuel A. Mitchell, Joel Anderson, Jonathan R. Williams, Austin Costley, Chase Kunz, Christopher Wilkinson, Remy Wehbe, Ryan M. Gerdes

Sustain. Comput. Informatics Syst., 2019

Improved Palmprint Segmentation for Robust Identification and Verification.

Dane Brown, Karen L. Bradshaw

Proceedings of the 15th International Conference on Signal-Image Technology & Internet-Based Systems, 2019

Multi-angled Face Segmentation and Identification Using Limited Data.

Dane Brown

Proceedings of the 15th International Conference on Signal-Image Technology & Internet-Based Systems, 2019

Using Current Draw Analysis to Identify Suspicious Firmware Behavior in Solid State Drives.

Ryan McDowell, Ryan N. Rakvic, Hau T. Ngo, T. Owens Walker, Robert W. Ives, Dane Brown

Proceedings of the 2019 IEEE International Conference on Computational Science and Engineering, 2019

2018

Towards detection of modified firmware on solid state drives via side channel analysis.

Dane Brown, T. Owens Walker, Ryan N. Rakvic, Robert W. Ives, Hau T. Ngo, James Shey, Justin A. Blanco

Proceedings of the International Symposium on Memory Systems, 2018

Classifying Solid State Drive Firmware via Side-Channel Current Draw Analysis.

Zachary Johnson, Alex Varon, Justin A. Blanco, Ryan N. Rakvic, James Shey, Hau T. Ngo, Dane Brown, T. Owens Walker

Proceedings of the 2018 IEEE 16th Intl Conf on Dependable, 2018

2017

Feature-Fusion Guidelines for Image-Based Multi-Modal Biometric Fusion.

Dane Brown, Karen L. Bradshaw

South Afr. Comput. J., 2017

A Study of MAC Address Randomization in Mobile Devices and When it Fails.

Jeremy Martin, Travis Mayberry, Collin Donahue, Lucas Foppe, Lamont Brown, Chadwick Riggins, Erik C. Rye, Dane Brown

Proc. Priv. Enhancing Technol., 2017

Return-Oriented Programming on a Cortex-M Processor.

Nathanael R. Weidler, Dane Brown, Samuel A. Mitchell, Joel Anderson, Jonathan R. Williams, Austin Costley, Chase Kunz, Christopher Wilkinson, Remy Wehbe, Ryan M. Gerdes

Proceedings of the 2017 IEEE Trustcom/BigDataSE/ICESS, Sydney, Australia, August 1-4, 2017, 2017

How Much Privacy Does $3, 165 Buy You?

Jeremy Martin, Dane Brown, Kris Merrion, Lamont Brown, Travis Mayberry

Proceedings of the 15th Annual Conference on Privacy, Security and Trust, 2017

Improved Automatic Face Segmentation and Recognition for Applications with Limited Training Data.

Dane Brown, Karen L. Bradshaw

Proceedings of the Beyond Databases, Architectures and Structures. Towards Efficient Solutions for Data Analysis and Knowledge Representation, 2017

2016

Extended Feature-Fusion Guidelines to Improve Image-Based Multi-Modal Biometrics.

Dane Brown, Karen L. Bradshaw

Proceedings of the Annual Conference of the South African Institute of Computer Scientists and Information Technologists, 2016

An Investigation of Face and Fingerprint Feature-Fusion Guidelines.

Dane Brown, Karen L. Bradshaw

Proceedings of the Beyond Databases, Architectures and Structures. Advanced Technologies for Data Mining and Knowledge Discovery, 2016