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Cyber-Physical Systems Virtual Organization
Read-only archive of site from September 29, 2023.
CPS-VO
NLP techniques
biblio
DeepMal: A CNN-LSTM Model for Malware Detection Based on Dynamic Semantic Behaviours
Submitted by aekwall on Mon, 02/08/2021 - 12:41pm
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
Using Entropy and Mutual Information to Extract Threat Actions from Cyber Threat Intelligence
Submitted by aekwall on Mon, 03/04/2019 - 9:48am
Entropy
Automated Response Actions
Trojan horses
timely defense decision making
Text Mining
Stanford typed dependency parser
rapid growth
publicly available CTI sources
NLP techniques
NLP
Mutual information
Malware behavior analysis
low-level cyber threat actions
information theory
extract threat actions
security of data
enabling timely response
cybersecurity texts
cyber threat intelligence sharing
cyber threat intelligence
Cyber Attacks
advance threat notice
ActionMiner
natural language processing
Data mining
Decision Making
Cybersecurity
composability
pubcrawl
Resiliency
