An empirical study of pattern leakage impact during data preprocessing on machine learning-based intrusion detection models reliability
In this paper, we investigate the impact of pattern leakage during data preprocessing on the reliability of Machine Learning (ML) based intrusion detection systems (IDS). Data leakage, also known as pattern leakage, occurs during data preprocessing when information from the testing set is used in tr...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Published: |
Elsevier B.V.
2023
|
| Online Access: | http://psasir.upm.edu.my/id/eprint/106552/ https://linkinghub.elsevier.com/retrieve/pii/S0957417423012174 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|