Intrusion detection with deep learning on internet of things heterogeneous network

Volume: 10, Issue: 3, Pages: 735 - 735
Published: Sep 1, 2021
Abstract
The difficulty of the intrusion detection system in heterogeneous networks is significantly affected by devices, protocols, and services, thus the network becomes complex and difficult to identify. Deep learning is one algorithm that can classify data with high accuracy. In this research, we proposed deep learning to intrusion detection system identification methods in heterogeneous networks to increase detection accuracy. In this paper, we...
Paper Details
Title
Intrusion detection with deep learning on internet of things heterogeneous network
Published Date
Sep 1, 2021
Volume
10
Issue
3
Pages
735 - 735
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.