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National Science Foundation

Cyber-Physical Systems Virtual Organization

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

CPS-VO

flow-based network attack detection

biblio

Visible to the public Understanding the Influence of Graph Kernels on Deep Learning Architecture: A Case Study of Flow-Based Network Attack Detection

Submitted by aekwall on Mon, 05/04/2020 - 11:15am
  • deep learning
  • networked system
  • network security practices
  • network attack detection technology
  • network attack detection tasks
  • network attack detection
  • Graph Kernel
  • flow-based network attack detection
  • deep learning architecture
  • anomaly-based approaches
  • Network Security Architecture
  • deep neural networks
  • Computer crime
  • network traffic
  • convolutional neural nets
  • Neural networks
  • graph theory
  • pubcrawl
  • Resiliency
  • learning (artificial intelligence)
  • computer architecture
  • Kernel
  • IP networks
  • computer network security

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