Quantum particle Swarm optimized extreme learning machine for intrusion detection
Ensuring a secure online environment hinges on the timely detection of network attacks. Nevertheless, existing detection methods often grapple with the delicate balance between speed and accuracy. In this paper, we introduce a novel intrusion detection algorithm that marries quantum particle swarm o...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Published: |
Springer
2024
|
| Subjects: | |
| Online Access: | http://eprints.um.edu.my/45421/ https://doi.org/10.1007/s11227-024-06022-y |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | Universiti Malaya |