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Cyber-Physical Systems Virtual Organization
Read-only archive of site from September 29, 2023.
CPS-VO
malware programs
biblio
Convolutional Neural Networks as Classification Tools and Feature Extractors for Distinguishing Malware Programs
Submitted by grigby1 on Thu, 10/29/2020 - 10:11am
malware detection
visualization
Training
testing
SVM
Support vector machines
support vector machine
Resiliency
resilience
pubcrawl
privacy
pattern classification
nearest neighbour methods
microsoft malware classification challenge
Metrics
malware programs
anti-malware industry
malware classification
malware
learning (artificial intelligence)
KNN
k-nearest neighbors
invasive software
Human behavior
feature extractors
feature extraction
convolutional neural networks
convolutional neural nets
computer architecture
computationally efficient CNN-based architecture
CNN based algorithms
classification tools
biblio
Classification of Malware programs using autoencoders based deep learning architecture and its application to the microsoft malware Classification challenge (BIG 2015) dataset
Submitted by grigby1 on Wed, 06/20/2018 - 11:56am
privacy
microcontrollers
Microsoft Malware Classification Challenge BIG2015
microsoft malware Classification challenge dataset
neural network
pattern classification
Pattern recognition
pattern recognition algorithms
principle component analysis
Metrics
pubcrawl
resilience
Resiliency
security
sensors
superior architecture
Time factors
gray scale images
autoencoder
classification process
classifier
Cybersecurity
deep learning
deep learning architecture
Devices
Global Positioning System
Acoustics
Human behavior
invasive software
Latches
learning (artificial intelligence)
malicious programs
malware classification
malware programs
