Skip to Main Content Area
  • CPS-VO
    • Contact Support
  • Browse
    • Calendar
    • Announcements
    • Repositories
    • Groups
  • Search
    • Search for Content
    • Search for a Group
    • Search for People
    • Search for a Project
    • Tagcloud
      
 
Not a member?
Click here to register!
Forgot username or password?
 
Home
National Science Foundation

Cyber-Physical Systems Virtual Organization

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

CPS-VO

intelligent capability

biblio

Visible to the public LuNet: A Deep Neural Network for Network Intrusion Detection

Submitted by grigby1 on Fri, 05/08/2020 - 2:43pm
  • recurrent neural nets
  • Metrics
  • network attack
  • network intrusion detection
  • network intrusion detection techniques
  • network traffic data
  • network traffic datasets
  • network users
  • Neural Network Security
  • policy-based governance
  • pubcrawl
  • machine learning
  • recurrent neural network
  • Recurrent neural networks
  • Resiliency
  • security issue
  • signature-based approach
  • spatial features
  • telecommunication traffic
  • temporal features
  • Training
  • feature extraction
  • AI-based solutions
  • Artificial Neural Networks
  • collaboration
  • computer network security
  • convolutional neural nets
  • convolutional neural network
  • cyber physical systems
  • Deep Neural Network
  • detection capability
  • advanced network attacks
  • hierarchical CNN+RNN neural network
  • input traffic data learning
  • intelligent capability
  • Intrusion Detection
  • intrusion detection system
  • Kernel
  • large scale network
  • learning (artificial intelligence)
  • LuNet

Terms of Use  |  ©2023. CPS-VO