Mitigating Unbalanced And Overlapped Problems Of Large Network Intrusion Data Using Multiplelevel Detection Techniques
Network intrusion data sets are usually unbalanced in class distribution because intrusions are rare occurrences in computer networks. Besides, data set classes may overlap because of their high similarity. These problems have caused a low detection rate for intrusions that are the minority in data...
Saved in:
| Main Author: | |
|---|---|
| Format: | Final Year Project / Dissertation / Thesis |
| Published: |
2022
|
| Subjects: | |
| Online Access: | http://eprints.utar.edu.my/4616/1/2002159_Ho_Yan_Bing.pdf http://eprints.utar.edu.my/4616/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Be the first to leave a comment!