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Cyber-Physical Systems Virtual Organization

Read-only archive of site from September 29, 2023.

CPS-VO

long short term memory recurrent neural networks

biblio

Visible to the public Deep Learning Based Attribute Classification Insider Threat Detection for Data Security

Submitted by aekwall on Wed, 05/08/2019 - 9:49am
  • long short term memory recurrent neural networks
  • threat detection recall
  • security of data
  • resilience
  • Recurrent neural networks
  • recurrent neural nets
  • pubcrawl
  • Principal Component Analysis based threat detection methods
  • principal component analysis
  • pattern classification
  • network threat
  • Metrics
  • malicious insiders
  • machine learning
  • Anomaly Detection
  • Logic gates
  • learning (artificial intelligence)
  • Kernel
  • insider threat
  • Human behavior
  • high detection rate
  • feature extraction
  • end-to-end detection framework
  • deep learning
  • Data Security
  • CERT insider threat dataset
  • attribute classifiers
  • attribute classification insider threat detection method

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