Search Results for author: Korey MacVittie

Found 5 papers, 0 papers with code

A Survey of Machine Learning Algorithms for Detecting Malware in IoT Firmware

no code implementations3 Nov 2021 Erik Larsen, Korey MacVittie, John Lilly

This work explores the use of machine learning techniques on an Internet-of-Things firmware dataset to detect malicious attempts to infect edge devices or subsequently corrupt an entire network.

BIG-bench Machine Learning

Intrusion Detection: Machine Learning Baseline Calculations for Image Classification

no code implementations3 Nov 2021 Erik Larsen, Korey MacVittie, John Lilly

Cyber security can be enhanced through application of machine learning by recasting network attack data into an image format, then applying supervised computer vision and other machine learning techniques to detect malicious specimens.

BIG-bench Machine Learning Classification +3

Virus-MNIST: Machine Learning Baseline Calculations for Image Classification

no code implementations3 Nov 2021 Erik Larsen, Korey MacVittie, John Lilly

The Virus-MNIST data set is a collection of thumbnail images that is similar in style to the ubiquitous MNIST hand-written digits.

Benchmarking BIG-bench Machine Learning +2

Overhead-MNIST: Machine Learning Baselines for Image Classification

no code implementations1 Jul 2021 Erik Larsen, David Noever, Korey MacVittie, John Lilly

Twenty-three machine learning algorithms were trained then scored to establish baseline comparison metrics and to select an image classification algorithm worthy of embedding into mission-critical satellite imaging systems.

BIG-bench Machine Learning Classification +1

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