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National Science Foundation

Cyber-Physical Systems Virtual Organization

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

CPS-VO

CTU-13 Dataset

biblio

Visible to the public Performance Evaluation of Botnet Detection using Deep Learning Techniques

Submitted by grigby1 on Thu, 03/04/2021 - 2:57pm
  • Reliability
  • malicious activities
  • Metrics
  • Multilayer Perception
  • multilayer perceptrons
  • neural nets
  • neural network
  • performance evaluation
  • Performance Metrics
  • pubcrawl
  • Long short-term memory
  • reliable botnet detection
  • resilience
  • Resiliency
  • security
  • Sensitivity
  • traffic control
  • unknown botnet traffic
  • Zero day attacks
  • zero-day attack
  • Data models
  • botnet
  • botnet traffic detection
  • botnet traffic patterns
  • botnets
  • composability
  • computer network security
  • convolutional neural network
  • CTU-13 botnet traffic dataset
  • CTU-13 Dataset
  • basic network security goals
  • deep learning
  • deep learning-based approaches
  • defense
  • different deep learning models
  • hybrid CNN-LSTM
  • internet
  • invasive software
  • known botnet traffic
  • learning (artificial intelligence)

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