Full Text Available

Note: Clicking the button above will open the full text document at the original institutional repository in a new window.

Energy-Efficient and Privacy-Preserving Intrusion Detection in Edge-Based Networks Using Federated Self-Supervised Learning

Saved in:
Bibliographic Details
Published in:International Journal of Wireless and Microwave Technologies
Format: Online Article RSS Article
Published: 2026
Subjects:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1867392268462194688
collection WordPress RSS
FRELIP Feed Integration
container_title International Journal of Wireless and Microwave Technologies
description
discipline_display Computer Science
discipline_facet Computer Science
format Online Article
RSS Article
genre Journal Article
id rss_article:78433
institution FRELIP
journal_source_facet International Journal of Wireless and Microwave Technologies
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Energy-Efficient and Privacy-Preserving Intrusion Detection in Edge-Based Networks Using Federated Self-Supervised Learning
Computer Science
General
Computer Science
sub_discipline_display General
sub_discipline_facet General
subject_display Computer Science
General
Computer Science
Computer Science
General
Computer Science
subject_facet Computer Science
General
Computer Science
title Energy-Efficient and Privacy-Preserving Intrusion Detection in Edge-Based Networks Using Federated Self-Supervised Learning
title_auth Energy-Efficient and Privacy-Preserving Intrusion Detection in Edge-Based Networks Using Federated Self-Supervised Learning
title_full Energy-Efficient and Privacy-Preserving Intrusion Detection in Edge-Based Networks Using Federated Self-Supervised Learning
title_fullStr Energy-Efficient and Privacy-Preserving Intrusion Detection in Edge-Based Networks Using Federated Self-Supervised Learning
title_full_unstemmed Energy-Efficient and Privacy-Preserving Intrusion Detection in Edge-Based Networks Using Federated Self-Supervised Learning
title_short Energy-Efficient and Privacy-Preserving Intrusion Detection in Edge-Based Networks Using Federated Self-Supervised Learning
title_sort energy-efficient and privacy-preserving intrusion detection in edge-based networks using federated self-supervised learning
topic Computer Science
General
Computer Science
url https://www.mecs-press.org/ijwmt/ijwmt-v16-n3/v16n3-17.html