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Cyber-Physical Systems Virtual Organization
Read-only archive of site from September 29, 2023.
CPS-VO
deep learning framework
biblio
DeepMal: A CNN-LSTM Model for Malware Detection Based on Dynamic Semantic Behaviours
Submitted by aekwall on Mon, 02/08/2021 - 1:41pm
cyber-criminals
recurrent neural nets
Human Factors
LSTM
Compositionality
high-level abstractions
CNN-LSTM model
Cyber Dependencies
component-CNN
convolution
deep learning framework
DeepMal
dynamic semantic behaviours
evil intentions
locally spatial correlations
malicious programs
malware classification task
sequential longterm dependency
Metrics
malware
malware detection
invasive software
Data models
feature extraction
learning (artificial intelligence)
Resiliency
pubcrawl
Scalability
Neurons
pattern classification
Training
machine learning
convolutional neural nets
natural language processing
NLP techniques
biblio
Malware Classification with Deep Convolutional Neural Networks
Submitted by grigby1 on Mon, 06/10/2019 - 2:01pm
learning (artificial intelligence)
Support vector machines
Resiliency
resilience
pubcrawl
privacy
Microsoft malware
Metrics
malware classification
malware binaries
malware
Malimg malware
machine learning approaches
machine learning
Learning systems
challenging malware classification datasets
invasive software
image classification
Human behavior
grayscale images
Gray-scale
feedforward neural nets
deep learning framework
deep learning approach
deep learning
deep convolutional neural networks
convolutional neural networks
convolution
computer architecture
CNN
