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

convolutional features

biblio

Visible to the public Effective Botnet Detection Through Neural Networks on Convolutional Features

Submitted by grigby1 on Fri, 04/05/2019 - 10:23am
  • invasive software
  • Training
  • telecommunication traffic
  • Servers
  • Resiliency
  • resilience
  • pubcrawl
  • Peer-to-peer computing
  • Payloads
  • P2P botnet datasets
  • Neural networks
  • Network traffic classification
  • Metrics
  • machine learning
  • learning (artificial intelligence)
  • IP networks
  • botnet
  • internet
  • feedforward neural nets
  • feed-forward artificial neural network
  • feature extraction
  • DDoS Attacks
  • cybercrimes
  • convolutional neural networks
  • convolutional features
  • convolution
  • computer network security
  • Computer crime
  • Compositionality
  • botnets
  • botnet detection system
  • Botnet detection

Terms of Use  |  ©2023. CPS-VO