Skip to Main Content Area
CPS-VO
Contact Support
Browse
Calendar
Announcements
Repositories
Groups
Search
Search for Content
Search for a Group
Search for People
Search for a Project
Tagcloud
› Go to login screen
Not a member?
Click here to register!
Forgot username or password?
Cyber-Physical Systems Virtual Organization
Read-only archive of site from September 29, 2023.
CPS-VO
malicious JavaScript detection
biblio
A Machine Learning Approach to Malicious JavaScript Detection using Fixed Length Vector Representation
Submitted by grigby1 on Mon, 12/10/2018 - 10:38am
pubcrawl
malicious JavaScript detection
malicious JS code detection
malicious JS codes
Metrics
neural nets
neural network model
Neural networks
pattern classification
plugin software
Predictive models
machine learning
resilience
Resiliency
Support vector machines
Vectors
web applications
Web site
Web sites
Zero day attacks
Zero-day attacks
drive-by-download attacks
Browsers
classifier model
composability
Context modeling
cyberattacks
Cybersecurity
D3M Dataset
defense
Doc2Vec
Doc2Vec features
authoring languages
Drive-by-Download Data
feature extraction
feature learning
features extraction
fixed length vector representation
invasive software
Java
JavaScript
learning (artificial intelligence)
