Machine learning and deep learning methods for intrusion detection systems: recent developments and challenges

Volume: 25, Issue: 15, Pages: 9731 - 9763
Published: Jun 24, 2021
Abstract
Deep learning (DL) is gaining significant prevalence in every field of study due to its domination in training large data sets. However, several applications are utilizing machine learning (ML) methods from the past several years and reported good performance. However, their limitations in terms of data complexity give rise to DL methods. Intrusion detection is one of the prominent areas in which researchers are extending DL methods. Even though...
Paper Details
Title
Machine learning and deep learning methods for intrusion detection systems: recent developments and challenges
Published Date
Jun 24, 2021
Volume
25
Issue
15
Pages
9731 - 9763
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.