Skip to main content
null
Scholarly Review Journal
  • Menu
  • Articles
    • Advocacy
    • Architecture
    • Art
    • Artificial Intelligence
    • Astronomy
    • Biology
    • Business
    • Chemistry
    • Computer Science
    • Crime
    • Economics
    • Education
    • Engineering
    • Environment
    • Ethics
    • Fashion
    • History
    • Law
    • Literature
    • Machine Learning
    • Mathematics
    • Media
    • Medicine
    • Mental Health
    • Music
    • Mythology
    • Philosophy
    • Political Science
    • Politics
    • Psychology
    • Religion
    • Sociology
    • Sport
    • Technology
    • All
  • For Authors
  • Editorial Board
  • About
  • Issues
  • Publication Calendar
  • Contact
  • AI Policy
  • IRB Policy
  • Model Paper
  • search
  • RSS feed (opens a modal with a link to feed)

RSS Feed

Enter the URL below into your favorite RSS reader.

http://localhost:32354/feed
ISSN 2996-8380
Computer Science
Vol. Fall 2025, Issue 14, 2025September 15, 2025 CEST

Comparing Machine Learning Algorithms for Intrusion Detection Systems

Lawrence Liu,
Intrusion Detection System (IDS)Machine Learning (ML)KDD99NSL-KDDUNSW-NB15k-Nearest Neighbors (kNN)Random ForestLong Short-Term Memory (LSTM)Gated Recurrent Unit (GRU)
Copyright Logoccby-4.0 • https://doi.org/10.70121/001c.143877
Photo by Etienne Girardet on Unsplash
Scholarly Review Journal
Liu, Lawrence. 2025. “Comparing Machine Learning Algorithms for Intrusion Detection Systems.” Scholarly Review Journal Fall 2025 (14). https:/​/​doi.org/​10.70121/​001c.143877.

View more stats

This website uses cookies

We use cookies to enhance your experience and support COUNTER Metrics for transparent reporting of readership statistics. Cookie data is not sold to third parties or used for marketing purposes.

cookies
cookies
cookies
Powered by Scholastica, the modern academic journal management system