Anomaly detection methods for detecting cyber attacks in industrial control systems
Thesis: S.M., Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center, September, 2020
Main Author: | Liu, Jessamyn. |
---|---|
Other Authors: | Retsef Levi |
Format: | Thesis |
Language: | eng |
Published: |
Massachusetts Institute of Technology
2021
|
Subjects: | |
Online Access: | https://hdl.handle.net/1721.1/129055 |
Similar Items
-
Internet of Things and anomaly detection for the iron ore mining industry
by: Saroufim, Carl Elie
Published: (2016) -
Anomaly detection methods for unmanned underwater vehicle performance data
by: Harris, William Ray
Published: (2015) -
Patterns of heart attacks
by: Shenk, Kimberly N
Published: (2011) -
Detecting food safety risks and human tracking using interpretable machine learning methods/
by: Zhu, Jessica H.
Published: (2019) -
Robust model selection and outlier detection in linear regressions
by: McCann, Lauren, Ph. D. Massachusetts Institute of Technology
Published: (2007)