UTILIZING MACHINE LEARNING-BASED INTRUSION DETECTION TECHNOLOGIES FOR NETWORK SECURITY

UTILIZING MACHINE LEARNING-BASED INTRUSION DETECTION TECHNOLOGIES FOR NETWORK SECURITY

Effective intrusion detection systems (IDS) are becoming essential for maintaining computer network security due to the growing complexity of cyber-attacks. Machine Learning (ML) can increase the effectiveness of intrusion detection technology, which is an essential resource to safeguard network sec...

Full description

Bibliographic Details
Main Authors: Rahul Kumar Sharma, Arvind Kumar Pandey, Bhuvana Jayabalan, Preeti Naval
Format: Article
Language:English
Published: University of Kragujevac 2024-03-01
Series:Proceedings on Engineering Sciences
Subjects:
machine learning
network security
network attack
cybersecurity
intrusion detection systems (ids)
stochastic cat swarm optimized privacy-preserving logistic regression (scso-pplr)
Online Access:https://pesjournal.net/journal/v6-n1/34.pdf

Internet

https://pesjournal.net/journal/v6-n1/34.pdf

Similar Items