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Cyber-Physical Systems Virtual Organization
Fostering collaboration among CPS professionals in academia, government, and industry
CPS-VO
classifier model
biblio
A Machine Learning Approach to Malicious JavaScript Detection using Fixed Length Vector Representation
Submitted by
grigby1
on Mon, 12/10/2018 - 11:38am
authoring languages
Browsers
classifier model
composability
Context modeling
cyberattacks
Cybersecurity
D3M Dataset
defense
Doc2Vec
Doc2Vec features
drive-by-download attacks
Drive-by-Download Data
feature extraction
feature learning
features extraction
fixed length vector representation
invasive software
Java
JavaScript
learning (artificial intelligence)
machine learning
malicious JavaScript detection
malicious JS code detection
malicious JS codes
Metrics
neural nets
neural network model
Neural networks
pattern classification
plugin software
Predictive models
pubcrawl
resilience
Resiliency
Support vector machines
Vectors
web applications
Web site
Web sites
Zero day attacks
Zero-day attacks
