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Cyber-Physical Systems Virtual Organization
Read-only archive of site from September 29, 2023.
CPS-VO
financial social media messages
biblio
Extracting Textual Features of Financial Social Media to Detect Cognitive Hacking
Submitted by aekwall on Mon, 10/12/2020 - 10:43am
Pricing
Human Behavior and Cybersecurity
textual features extraction
stock movements
stock markets
social media
price movements
potential cognitive hacking attacks
Information Gain
financial social media messages
financial market
Cognitive Hacking
abnormal behavior
Computer crime
Text Mining
cyber threats
cognition
Data mining
Economics
Companies
Cybersecurity
social networking (online)
Social network services
pubcrawl
Human behavior
feature extraction
biblio
A Temporal Recurrent Neural Network Approach to Detecting Market Anomaly Attacks
Submitted by grigby1 on Fri, 05/08/2020 - 2:02pm
recurrent neural nets
U.S. technology companies
Twitter
TRNN
text sequence dependency
temporal recurrent neural network approach
stock markets
social networking (online)
Social network services
social media
Sequence Prediction
security of data
Resiliency
resilience
Recurrent neural networks
recurrent neural network
Anomaly Detection
pubcrawl
policy-based governance
Neural Network Security
Metrics
market anomaly attacks detection
learning (artificial intelligence)
financial stocks markets
financial social media messages
financial market security
feature extraction
deep learning approaches
commodities markets
collaboration
Cognitive Hacking
Artificial Neural Networks
