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

singular anomaly detection methods

biblio

Visible to the public Network Anomaly Detection with Stochastically Improved Autoencoder Based Models

Submitted by grigby1 on Thu, 06/07/2018 - 3:09pm
  • pubcrawl
  • Zero day attacks
  • two deep learning
  • Training
  • stochastically improved autoencoder
  • Stochastic processes
  • Stochastic Computing Security
  • Stochastic computing
  • stochastic approach
  • singular anomaly detection methods
  • security of data
  • security
  • Scalability
  • Resiliency
  • resilience
  • Anomaly Detection
  • noise reduction
  • network security
  • network anomaly detection
  • learning (artificial intelligence)
  • KDDTest+ dataset
  • Intrusion Detection Systems
  • Intrusion Detection
  • denoising autoencoder
  • deep learning
  • Data models
  • Computational modeling
  • autoencoder
  • anomaly detection models

Terms of Use  |  ©2023. CPS-VO