Building Auto-Encoder Intrusion Detection System based on random forest feature selection

Published 2020 View Full Article

  1. Home
  2. Publications
  3. Publication Search
  4. Publication Details
Title
Building Auto-Encoder Intrusion Detection System based on random forest feature selection
Authors
Keywords
Network security, Network Intrusion Detection System, Deep learning, Auto-Encoder, Unsupervised clustering
Journal
COMPUTERS & SECURITY
Volume 95, Issue -, Pages 101851
Publisher
Elsevier BV
Online
2020-04-29
DOI
10.1016/j.cose.2020.101851

Ask authors/readers for more resources

Protocol

Community support

Reagent

Community support

Reprint

Contact the author

Discover Peeref hubs

Discuss science. Find collaborators. Network.

Join a conversation

Create your own webinar

Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.

Create Now
Webinars Posters Questions Hubs Funding Journals Articles Connect Collections Reviewers About Us FAQs Mobile App Privacy Policy Terms of Use
© Peeref 2019-2024. All rights reserved.