PHM-Based Modeling for Cyberattack Classifier Performance
This research implements Prognostics and Health Management (PHM) using multiple linear regression and multivariate time series models to monitor and predict when the performance of a Machine Learning-based cyberattack classifier might degrade to an unacceptable level, enabling preemptive maintenance strategies.
Authors
- P. Ravindra S De Silva
Institutions
- University of Massachusetts Dartmouth (US)
Publication Details
- Journal
- Annual Conference of the PHM Society
- Published
- 2024-11-11
- DOI
- https://doi.org/10.36001/phmconf.2024.v16i1.4177
- Primary Topic
- Network Security and Intrusion Detection
- Type
- article
- Field-Weighted Citation Impact
- 0.00