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DeepGuard: Deep Generative User-behavior Analytics for Ransomware Detection
Gaddisa Olani Ganfure
,
Chun Feng Wu
, Yuan Hao Chang
, Wei Kuan Shih
資訊工程學系
研究成果
:
Conference contribution
›
同行評審
11
引文 斯高帕斯(Scopus)
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Keyphrases
Ransomware
100%
Ransomware Detection
100%
User Analytics
100%
User Activity
50%
Typical User
33%
Detection Device
16%
Model Output
16%
Experiment Results
16%
User Behavior
16%
Detection Model
16%
Main Idea
16%
Reconstruction Error
16%
Training Data
16%
Motivation
16%
False Positive Rate
16%
User Input
16%
Cyberspace
16%
Proposed Strategy
16%
Attack Detection
16%
Criminal
16%
Overall Modeling
16%
Interaction Patterns
16%
3-sigma
16%
Modeling User Behavior
16%
Autoencoder Architecture
16%
Ransomware Families
16%
Running State
16%
WannaCry
16%
Generative Autoencoder
16%
Computer Science
User Behavior
100%
Malware
100%
Training Data
9%
Reconstruction Error
9%
False Positive Rate
9%
Interaction Pattern
9%
Autoencoder
9%
Engineering
Malware
100%
Main Idea
9%
Autoencoder
9%
Running State
9%