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National Science Foundation

Cyber-Physical Systems Virtual Organization

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

CPS-VO

CERT insider threat dataset

biblio

Visible to the public A Trust Aware Unsupervised Learning Approach for Insider Threat Detection

Submitted by grigby1 on Tue, 01/21/2020 - 11:22am
  • machine learning
  • Unsupervised Learning
  • trust aware unsupervised learning
  • trust
  • system logs
  • Support vector machines
  • Resiliency
  • resilience
  • pubcrawl
  • policy-based governance
  • Organizations
  • one-class SVM
  • Metrics
  • machine learning algorithms
  • threat mitigation
  • isolation forest
  • insiders
  • insider threat detection systems
  • insider threat
  • Human behavior
  • Forestry
  • feature extraction
  • Data mining
  • data analysis
  • collaboration
  • CERT insider threat dataset
  • Anomaly Detection
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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